{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Applying refutation tests to the Lalonde and IHDP datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import the Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import dowhy\n",
    "from dowhy import CausalModel\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# Config dict to set the logging level\n",
    "import logging.config\n",
    "DEFAULT_LOGGING = {\n",
    "    'version': 1,\n",
    "    'disable_existing_loggers': False,\n",
    "    'loggers': {\n",
    "        '': {\n",
    "            'level': 'WARN',\n",
    "        },\n",
    "    }\n",
    "}\n",
    "\n",
    "logging.config.dictConfig(DEFAULT_LOGGING)\n",
    "# Disabling warnings output\n",
    "import warnings\n",
    "from sklearn.exceptions import DataConversionWarning\n",
    "warnings.filterwarnings(action='ignore', category=DataConversionWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading the Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Infant Health and Development Program Dataset (IHDP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The measurements used are on the child—birth weight, head circumference, weeks bornpreterm, birth order, ﬁrst born, neonatal health index (see Scott and Bauer 1989), sex, twinstatus—as well as behaviors engaged in during the pregnancy—smoked cigarettes, drankalcohol, took drugs—and measurements on the mother at the time she gave birth—age,marital status, educational attainment (did not graduate from high school, graduated fromhigh school, attended some college but did not graduate, graduated from college), whethershe worked during pregnancy, whether she received prenatal care—and the site (8 total) inwhich the family resided at the start of the intervention. There are 6 continuous covariatesand 19 binary covariates.\n",
    "\n",
    "### Reference\n",
    "Hill, J. L. (2011). Bayesian nonparametric modeling for causal inference. Journal of Computational and Graphical Statistics, 20(1), 217-240. https://doi.org/10.1198/jcgs.2010.08162"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>treatment</th>\n",
       "      <th>y_factual</th>\n",
       "      <th>y_cfactual</th>\n",
       "      <th>mu0</th>\n",
       "      <th>mu1</th>\n",
       "      <th>x1</th>\n",
       "      <th>x2</th>\n",
       "      <th>x3</th>\n",
       "      <th>x4</th>\n",
       "      <th>x5</th>\n",
       "      <th>...</th>\n",
       "      <th>x16</th>\n",
       "      <th>x17</th>\n",
       "      <th>x18</th>\n",
       "      <th>x19</th>\n",
       "      <th>x20</th>\n",
       "      <th>x21</th>\n",
       "      <th>x22</th>\n",
       "      <th>x23</th>\n",
       "      <th>x24</th>\n",
       "      <th>x25</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>5.599916</td>\n",
       "      <td>4.318780</td>\n",
       "      <td>3.268256</td>\n",
       "      <td>6.854457</td>\n",
       "      <td>-0.528603</td>\n",
       "      <td>-0.343455</td>\n",
       "      <td>1.128554</td>\n",
       "      <td>0.161703</td>\n",
       "      <td>-0.316603</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>6.875856</td>\n",
       "      <td>7.856495</td>\n",
       "      <td>6.636059</td>\n",
       "      <td>7.562718</td>\n",
       "      <td>-1.736945</td>\n",
       "      <td>-1.802002</td>\n",
       "      <td>0.383828</td>\n",
       "      <td>2.244320</td>\n",
       "      <td>-0.629189</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>2.996273</td>\n",
       "      <td>6.633952</td>\n",
       "      <td>1.570536</td>\n",
       "      <td>6.121617</td>\n",
       "      <td>-0.807451</td>\n",
       "      <td>-0.202946</td>\n",
       "      <td>-0.360898</td>\n",
       "      <td>-0.879606</td>\n",
       "      <td>0.808706</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>1.366206</td>\n",
       "      <td>5.697239</td>\n",
       "      <td>1.244738</td>\n",
       "      <td>5.889125</td>\n",
       "      <td>0.390083</td>\n",
       "      <td>0.596582</td>\n",
       "      <td>-1.850350</td>\n",
       "      <td>-0.879606</td>\n",
       "      <td>-0.004017</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>1.963538</td>\n",
       "      <td>6.202582</td>\n",
       "      <td>1.685048</td>\n",
       "      <td>6.191994</td>\n",
       "      <td>-1.045229</td>\n",
       "      <td>-0.602710</td>\n",
       "      <td>0.011465</td>\n",
       "      <td>0.161703</td>\n",
       "      <td>0.683672</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   treatment  y_factual  y_cfactual       mu0       mu1        x1        x2  \\\n",
       "0       True   5.599916    4.318780  3.268256  6.854457 -0.528603 -0.343455   \n",
       "1      False   6.875856    7.856495  6.636059  7.562718 -1.736945 -1.802002   \n",
       "2      False   2.996273    6.633952  1.570536  6.121617 -0.807451 -0.202946   \n",
       "3      False   1.366206    5.697239  1.244738  5.889125  0.390083  0.596582   \n",
       "4      False   1.963538    6.202582  1.685048  6.191994 -1.045229 -0.602710   \n",
       "\n",
       "         x3        x4        x5  ...  x16  x17  x18  x19  x20  x21  x22  x23  \\\n",
       "0  1.128554  0.161703 -0.316603  ...    1    1    1    1    0    0    0    0   \n",
       "1  0.383828  2.244320 -0.629189  ...    1    1    1    1    0    0    0    0   \n",
       "2 -0.360898 -0.879606  0.808706  ...    1    0    1    1    0    0    0    0   \n",
       "3 -1.850350 -0.879606 -0.004017  ...    1    0    1    1    0    0    0    0   \n",
       "4  0.011465  0.161703  0.683672  ...    1    1    1    1    0    0    0    0   \n",
       "\n",
       "   x24  x25  \n",
       "0    0    0  \n",
       "1    0    0  \n",
       "2    0    0  \n",
       "3    0    0  \n",
       "4    0    0  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"https://raw.githubusercontent.com/AMLab-Amsterdam/CEVAE/master/datasets/IHDP/csv/ihdp_npci_1.csv\", header = None)\n",
    "col =  [\"treatment\", \"y_factual\", \"y_cfactual\", \"mu0\", \"mu1\" ,]\n",
    "for i in range(1,26):\n",
    "    col.append(\"x\"+str(i))\n",
    "data.columns = col\n",
    "data = data.astype({\"treatment\":'bool'}, copy=False)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lalonde Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A data frame with 445 observations on the following 12 variables.\n",
    "\n",
    "- age:\n",
    "age in years.\n",
    "- educ:\n",
    "years of schooling.\n",
    "- black:\n",
    "indicator variable for blacks.\n",
    "- hisp:\n",
    "indicator variable for Hispanics.\n",
    "- married:\n",
    "indicator variable for martial status.\n",
    "- nodegr:\n",
    "indicator variable for high school diploma.\n",
    "- re74:\n",
    "real earnings in 1974.\n",
    "- re75:\n",
    "real earnings in 1975.\n",
    "- re78:\n",
    "real earnings in 1978.\n",
    "- u74:\n",
    "indicator variable for earnings in 1974 being zero.\n",
    "- u75:\n",
    "indicator variable for earnings in 1975 being zero.\n",
    "- treat:\n",
    "an indicator variable for treatment status.\n",
    "\n",
    "### References\n",
    "Dehejia, Rajeev and Sadek Wahba. 1999.``Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs.'' Journal of the American Statistical Association 94 (448): 1053-1062.\n",
    "\n",
    "LaLonde, Robert. 1986. ``Evaluating the Econometric Evaluations of Training Programs.'' American Economic Review 76:604-620."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Matching', 'MASS', 'tools', 'stats', 'graphics', 'grDevices',\n",
       "       'utils', 'datasets', 'methods', 'base'], dtype='<U9')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from rpy2.robjects import r as R\n",
    "\n",
    "from os.path import expanduser\n",
    "home = expanduser(\"~\")\n",
    "\n",
    "%reload_ext rpy2.ipython\n",
    "\n",
    "# %R install.packages(\"Matching\")\n",
    "%R library(Matching)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>educ</th>\n",
       "      <th>black</th>\n",
       "      <th>hisp</th>\n",
       "      <th>married</th>\n",
       "      <th>nodegr</th>\n",
       "      <th>re74</th>\n",
       "      <th>re75</th>\n",
       "      <th>re78</th>\n",
       "      <th>u74</th>\n",
       "      <th>u75</th>\n",
       "      <th>treat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>37</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9930.05</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3595.89</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24909.50</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7506.15</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>289.79</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  educ  black  hisp  married  nodegr  re74  re75      re78  u74  u75  \\\n",
       "1   37    11      1     0        1       1   0.0   0.0   9930.05    1    1   \n",
       "2   22     9      0     1        0       1   0.0   0.0   3595.89    1    1   \n",
       "3   30    12      1     0        0       0   0.0   0.0  24909.50    1    1   \n",
       "4   27    11      1     0        0       1   0.0   0.0   7506.15    1    1   \n",
       "5   33     8      1     0        0       1   0.0   0.0    289.79    1    1   \n",
       "\n",
       "   treat  \n",
       "1   True  \n",
       "2   True  \n",
       "3   True  \n",
       "4   True  \n",
       "5   True  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%R data(lalonde)\n",
    "%R -o lalonde\n",
    "lalonde = lalonde.astype({'treat':'bool'}, copy=False)\n",
    "lalonde.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 1: Building the model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IHDP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kMmH48OFwdXXF1q1bhdaiNunp6WjWrBlq166NK1euiC4Hly5dQs2aNdGqVSvcvHlTdDmqsmnTJri4uOCZZ56R4o7LpKQkODg44M033xRdiqqYzWZMnjwZOp0OP/zwg+hy2E/sJylgP8kB+0ke2E/ywH6SA/aTPLCf5IH9JAfsJ3lgP8kD+0kO2E/y8Ch+euikr7t376Jx48YIDQ1FWlraYxdZkfj555/h6OiIhIQEYTVw/py/KDh/sXD+YuH8xcL5i4XzFwvnLxYZ8geACRMmwMnJqVIv414aaWlpCA8PR4MGDZCZmSmsjoyMDISFhaFhw4ZIT08XVodIkpOTYTAY8Prrrwut47fffoNer8eECROE1iGScePGwWAwYPPmzULrYD+xn2SB/SQP7Cc5YD/JA/tJHthPcsB+kgf2kzywn+SA/SQP7Cd5YD/JQXn99NBJX2PGjIGXlxfOnz9vkwIrGl988QW0Wi02bdokZHzOn/MXCecvFs5fLJy/WDh/sXD+YuH8xSI6/6SkJGg0GrtZsrokLl++DH9/fwwbNkxYDYMHD0ZgYCCuXr0qrAYZWLx4MTQajbC7/K5fv46AgAAMHjxY+Cp8IjGbzXjqqacQGBiIlJQUITWwn/6G/SQP7Cc5YD/JA/tJHthPcsB+kgf2kzywn+SA/SQP7Cd5YD/JAftJHsrjp1Infa1evRoajQbLly+3WXEVkUGDBiE4OFj1R9tw/n/D+YuF8xcL5y8Wzl8snL9YOH+xcP5iEZX/+fPn4eHhgXHjxqk6rqysX78eWq0W8+fPV33s//73v9Bqtdi4caPqY8vIiy++CE9PT1y4cEHVcc1mM7p3746QkBBkZGSoOraM3L59G7Vr10Z0dLTqY7OfCsN+kgf2kxywn+SB/SQP7Cc5YD/JA/tJHthPcsB+kgf2kzywn+SA/SQPZfVTiZO+cnNzUadOHQwfPtzmxT0OP//8M+rWrQsHBwfVxrx58yb8/PwwadIk1caUKf+bN29izpw56Ny5M7y8vODk5ISQkBA8/fTT2L9/vyrj23P+ZrMZ27Ztw9ixY1G3bl3o9Xr4+fmhffv2WLRokeKzje09/+Lo27cviAjTp09XfCzOH2jfvj2IqNh/Si+xyvn/TV5eHj788EM0a9YMrq6u8PPzwxNPPIHVq1cr6iB7z3/OnDklvvct/5544gnFxrf3/AHg/v37mD9/Plq2bAlvb294enqiWbNm+OSTT5Cbm6vo2Jw/kJ+fj1mzZqFx48ZwdnaGu7s7OnfujA0bNig+toj8ASAmJgb169dHdna2quMWpDz91r59+9CrVy94eHjA1dUVXbt2xbZt22xaz+uvvw4fHx/cvHnTptstjRs3bsDb2xtvvPGGamM+SHn7XqX75OzsbNStWxdDhgxRZPslkZSUBK1Wi507d6o6bkHKkq2aPfMff/whZHJuRfGTmv0z+6l8vlGqj2Y/PXxfqNVTs5/K9rlQo79mP5W8H9Tss9lPD/9MqNVzs58evi/U6r/tyU+P2iOo0Wfbm58ep19Tute2Nz+Vd1+o2Wuzn0rOVc0+m/1U/ve4Ur02++nh+0KtXrssfipx0tesWbPg7OyMixcv2qygx+H06dPo27cvGjVqBHd3d1UnfQHAxx9/DCcnJ9UecyNT/qNGjYJOp8Ps2bNx7do13L17F1u2bEF4eDgcHBywYsUKxWuw5/yPHTsGIkK3bt1w4MABZGdn48yZMxg2bBiICBMnTlS8BnvO/0EWLFhgFbYak74Azl/kpC+A879z5w4iIyPRqFEjbN68Gffu3cOFCxcwaNAgEBEOHTqk6Pj2nH9ZTkZPmzZN0RrsOX8AGDFiBIgI//znP5GSkoL09HS89957ICL06dNH8fHtOf/8/Hz06dMHjo6O+OSTT5Ceno6zZ8/iueeeg0ajwZIlSxSvQe38t2zZAiLCTz/9pMp4D1Lefmvnzp1wdnbGkCFDcPXqVaSlpWH06NHQ6XRITk62WV23b9+Gn58fXnvtNZtt82GMHz8e/v7+Qu7sK+9+ULNPXrVqFTQaDbZv367YGAXJzs5GzZo1MXLkSFXGe5DyZKt2zzxixAjUrl0bOTk5Nt1uSVQkP6nZP7Ofyu4bpfto9pMck74A9tPD9oVa/TX76fEmfdmyz2Y/lf6ZULPnZj+VvC/U7L/tyU+P0iOo1WcD9uWnR9kXavba9uSn8u4LNXtt9lPJuap9nZr9VPb3uNK9Nvup9H2hVq9dFj8VO+nLZDKhevXqeP31121WzOMybNgwzJgxA/fv30dQUJDqk75yc3NRvXp1Ve72ly3/UaNGIS4ursjX9+/fDyJC3bp1Fa/BnvM/duwYdDpdkdmbubm58PHxgcFgUFy29px/Qa5cuQIvLy/ExsaqOunL3vNv3749/vrrL2Hj23v+L730Etzd3XH9+vVCX79z5w4MBoPik77sOf85c+bgySefLPa1kydPwmAw4Nq1a4rWYM/5nzlzBkSEpk2bFnmte/fuICLs2rVL0RrsOf9vvvkGRIRXXnml0NfNZjNCQ0Ph5eWl+KMX1cwfAPr06YNOnTqpMlZxlKffMplMaNCgAQIDA3Hv3j3r1/Pz81G/fn1Uq1bNpsenH330EVxcXFR53OaNGzfg5OSEzz77TPGxiqO8fa/afXJkZGSJf5tszTfffAO9Xo/Lly+rMt6DlCdbtXvmixcvwtHREd9++61Nt1sSFclPavfP7KeHo1YfzX4qGTV7avZT6ftCzf6a/VQ8Ivps9lPxqN1zs59K3hdq99/24qfy9ghq99mA/fjpUfo1NXtte/JTefeF2r02+6n4XEVcp2Y/Pfw9rkavzX4qfV+o2Ws/zE/FTvpKTk4GEeHYsWOKFlceCh7kiJj0BQAJCQnw9/dHXl6eouPImH9JODs7Q6vVKv6IQYDzL44mTZqAiHD79m3Fx+L8gV69eiEuLg6LFi1SddIXYN/5i570Bdhv/tevX4eDgwNeeukloXXYa/4bNmzAzJkzi33tlVdeUW2JY3vN//fffwcR4emnny7y2iuvvAIiUmVpY3vN/8knnwQRYf369UVei4+PBxFh3rx5itehVv6XLl2Cg4MDli1bpug4pVGefmvTpk3FXhQAgClTptj885GZmQk3Nzd8+umnNttmScyePRuurq7IzMxUfKziKG/fq3afvGTJEuh0OlVOhLVv3x6DBw9WfJySsFW2SvXMAwcORMeOHW26zeKoaH4qDSX6Z/bTw1Grj2Y/lYzaPTX7qXjU7q/ZT8Ujos9mPxWPiJ6b/VQ8avff9uSnkiiuR1C7zwbsy08lUVK/pnavbU9+Kony9s5K9Nrsp/LnqtR1avbTw/eFWr02+6nkfaFmr/0wP2mpGL7//ntq27YthYaGFveyEJydnUWXQM899xylpqbSpk2bFB1HxvyL4+7du5SdnU0NGzYkjUaj+Hicf2Fu375Np06doqZNm5KHh4fi49l7/l999RUdOXKEZs6cKWR8e89fNPaa/+rVq8lkMlFkZKTQOuw1/27dutHEiROLfD0rK4sWLFhAY8eOVaUOe80/NDSUHB0d6fjx40VeO378OGk0GoqIiFC8DnvNPyUlhYiIqlSpUuS1wMBAIiLatm2b4nWomb+Xlxf169dP0XFKozz91m+//UZERC1atCjymuVrGzdutE1hROTm5kaDBg2ib7/91mbbLInFixfTkCFDyM3NTfGxiqO8fa/affKAAQPIw8ODli5dqug458+fp+3bt9OoUaMUHac0bJGtkj3z6NGjaevWrXTx4kWbbvdBKpqfSkKp/pn9VDpq9tHsJ3lgPxWP2v01+6l4RPTZ7KfiEdFzs5+KR+3+2578VBwl9Qhq99lE9uWn4iitX1P7eMue/FQc5e2dleq12U/ly1XJ69Tsp9L3hZq9NvtJ3fkwJfEwPxU76Wvr1q3UvXt3xYqKjIwkjUZj/TdixAgi+rvpKvj127dvK1bDo1CjRg0KCQlR/AJTRcl/2bJlRET01ltvKVZrQTj/v8nMzKTt27dTv379KCAggBYuXKhYrQWx5/wvX75MEydOpK+++krYAZg9509EtGjRImrSpAkZjUby8PCgDh060OLFixWr80HsNf+9e/cSEZGXlxdNnDiRqlWrRnq9nmrUqEHjx4+nmzdvKlZrQew1/5L4+uuvqXr16tSxY0fFai2Ivebv7+9PM2fOpAMHDtCbb75JaWlpdPPmTXr//ffp119/pXfeeYfq1aunWL0W7DV/X19fIvrfyeeCpKWlEdHfTbnSqJX/5s2bqXPnzqTX622yPaX7LcuFmeDg4CKvBQUFERHRyZMnH7H64unRowft3r2b7ty5Y9PtFuTOnTu0d+9eio6Otsn2KmrfWxoGg4GioqJoy5Ytio6zZcsWMhgMNvtbJ2pfKNkzR0VFkV6vp61bt9p82wWpaH56EDX6Z/ZT8ajdR7OfSkfNnpr9VDwi+mv2U9lRss9mPxWPiJ6b/VQ8Ivpve/ZTST2CiD7b3v2k9jXO0rB3P5V3Xyi579hPD89VjT6b/VTyvlC712Y/lf65ULPXLtVPDy79lZaWBo1Gg3Xr1im6BNn+/fthNBrRuHFj3LlzBwCQk5OD1q1bY8mSJaX+rKjHOwLAyJEj0a1bN8W2XxHyB/5ektzf3x8vvPCConU+iL3nP336dBARiAidOnXCwYMHFa3zQew1/+joaIwdO9b6fxGPdwTsN//27dsjNjYWe/bswZ07d3D8+HHrM6qLW+5aKewxf8vy7gEBARg+fDjOnDmDW7duYcGCBTAajahXr54qj5cF7DP/4jCbzahXrx4+//xzRet8EHvOPykpCcHBwda/v76+vvjyyy8VrfNB7DH/Tz75pETPN2/eHESEFi1aKFqvBaXzN5vN8Pb2xuzZs226XSX7re7du4OIsHPnziKvnTp1CkSEZs2aPd4v8ACXLl0CEWHjxo023W5BNmzYACLClStXbLZNNftetfrkDz/8ED4+PoqOERcXh8jISJtuU+1zEGr0zO3atcOYMWMU235F9FNB1Oqf2U/FI6KPZj8Vj4iemv1UFBH9NfupbKjRZ7OfSkbtnpv9VBQR/bc9+gkovUcQ0WcD9uknoHz9mlq9tj36CSh/76x0r81+Kj1XNa9Ts5+K3xciem32U/H7Qu1euzQ/FZn0tXv3bhARzp49a/NCHiQpKQlEhIEDB8JsNmPkyJF48803H/pzIid9vfvuuwgJCVFs+xUh//T0dDRp0gRDhgxBfn6+4nUWhPMHcnNzcezYMYwZMwYODg6YNm2a4rVasMf8//vf/6J27drWPwaAuElf9ph/abRq1arERlgJ7DH/6OhoEBFq1aqF+/fvF3rt//7v/0BEePvttxWvF7DP/Ivj559/hpubG7KyshSusjD2mL/ZbMbo0aPh6OiIDz/8ENevX0daWhrmzp0LZ2dnDBkypMjnQinsMf/s7Gw0b94cjo6O+PTTT5Geno4LFy5g3LhxCAgIABGhQ4cOitcLKJ//7du3QUT45ZdfbL5tpfqt0k5Gnzx5EkSE5s2bP1btxWE0GhW9ADRv3jy4u7vbfLtq9b1q9clr164FESEzM1OxMbp3767ICVy19oVaPfNzzz2HJ554QrHtV0Q/PYha/TP7qTCi+mj2U/lQsqdmPxVFVH/Nfno4avTZ7KeiiOq52U9FEdV/25ufHtYjiOqz7dFP5e3X1Oq17dFP5d0XavXa7KfSUavPZj8V3Reiem32U/l8o2SvXZKfijzeMT09nYiIfHx8HnzJ5sTExNBbb71FP/74I0VGRtKNGzdo+vTpio/7OPj4+NCNGzcU277s+d+9e5eio6MpPDycvvvuO3JwcFC8zoLYe/5ERHq9nkJDQ2nOnDnUr18/euedd+jXX39VvF4i+8v/4sWLNGnSJPrqq6/IaDQqXtPDsLf8H8agQYOIiGjNmjVKlFgEe8zf8r7v1q0b6XS6Qq/17duXiIiSk5MVr5fIPvMvjo8//pieeeYZcnV1VbjKwuJDDpMAACAASURBVNhj/osWLaJ58+bRmDFj6LXXXiN/f3/y9fWluLg4+sc//kFLly6lTz/9VPF6iewzfycnJ9q0aRNNmDCBZs6cSYGBgdS6dWsCYF1SOSAgQPF6idTL3/JIDVuiVL/l6elJRH/3Bg9i+Zrle2yJn5+fNS8lSE9Pr1D7QRSWjJTcFzdu3Kiw+0LNnlmNzwRRxfLTg6jVP7Of/ofIPpr9VD6U7KnZT0UR1V+znx6OGn02+6koonpu9lNRRPXf9uSnsvQIovpse/OT6GucpWFvfirvvqhsvXZF3Q9E6vXZ7KfC+0Jkr81+Kp9vRPTaRSZ9ZWdnExGRs7OzzYsojunTp1Pr1q3pjz/+oJiYGNJqi5QkFa6ursUedNkKmfPPz8+nmJgYCgoKogULFgg5GLLn/IvDclLop59+UqK8Ithb/mvWrKGMjAzq1KlToef7xsbGEhHR22+/bf3a6dOnFa/X3vJ/GIGBgURElJqaqkR5RbDH/GvWrElExU8EqVKlChERpaWlKVqnBXvM/0FOnjxJ69evp7Fjx6pQYWHsMf9ffvmFiP6+KPMgXbt2JSKidevWKVvo/8ce8ycicnNzo//85z907tw5ysvLo2vXrtFnn31mzaJZs2aq1KtW/i4uLopsX4l+KzQ0lIiILl++XOS1K1euEBFRvXr1HnucBzEajYrvC6U+BxWt7y0Ny4klJffFvXv3KuS+ULtnVuMzQVSx/FQaSvbP7Kf/IbKPZj+VDyV7avZTUUT11+yn0lGrz2Y/FUVUz81+Kh4R/be9+KmsPYLIPpvIPvwkwzXO0rAnP5V3X1TGXruyfCaU7rOJ2E8WRPfa7KeyI6LXLvIbeXl5ERHRrVu3bF5Ecfz++++UkZFBERERNHbsWDpw4IAq4z4qN27cIG9vb8W2L3P+L774IuXm5lJSUlKhO9JCQkJo586dapRr1/kXh8FgICKimzdvKlFeEewt/3HjxhH+fgxuoX+LFi0ior//SFi+FhISoni99pb/w7h69SoR/e/kqNLYY/6RkZFERHTt2rUir1kOVvz9/ZUt9P9jj/k/yMcff0wdO3ak8PBwFSosjD3mX5Ym5s6dO0qUVwR7zL80tm3bRkREAwcOVKK8IqiVv1LHc0r0W507dyYioj179hR5zfI1y4UaW3Ljxg1FV6Tz8vJS7HNQ0fre0rCsfKfkvvD29q6Q+0LtnlmNzwRRxfJTaSjZP7Of/ofIPpr9VD6U7KnZT0UR1V+zn0pHrT6b/VQUUT03+6l8KNl/24ufytojiOyziezDTzJc4ywNe/JTefdFZey1K8tnQuk+m4j9ZNkXontt9lPZPxcieu0ik74s36TGyh3nzp2jUaNG0Q8//ECrV68mZ2dnevLJJ1VbNeRRSEtLU/RNLWv+U6ZMoSNHjtCqVausAheBPeb/xhtv0IgRI4rdhuVup5YtWypeL5F95i8T9pj//PnzqXnz5kV+HgAlJSUR0f/uJFAae8y/V69eFBQURL/88gvl5OQUes2yLGn//v0Vr5fIPvMvSGZmJi1cuJDGjRuneH3FYY/5t27dmoiINm7cWGQbv/32GxERtWnTRvF6iewz//T0dNJqtdYGyUJmZibNnz+fhg4dqsgdrsVRkfNX6ngnKiqKwsPDafny5YX+PphMJvr++++pWrVq1Lt378ctvxAmk0mxJdct+Pr60o0bN8hsNtt0uxXxuLM00tLSSKPRKP65UOJuOCX3hYieOTU1lf30ACL6Z/aTPLCfiiKqp2Y/FUVEf81+Kh01+2z2U1FE9dzsp6KI6L/txU/l6RFE9NlE9uMnWa5xloa9+Km8+0Ltfcd+Koqo69TsJ3lgPxVFRK9dqp/wADk5OXBycsKiRYsefMmmZGVloVGjRli1apX1a7///jscHR3RsWNH5OXllfizQUFBcHBwULS+kujVqxeGDh2q2PZlzP/rr78GEZX6b8eOHYrWa8Ee8584cSI0Gg2mTp2Kc+fOIScnB+fOncPkyZNBRGjevDnu3bunaL0W7DH/4li0aBGICNOnT1e0zgexx/znzZsHIsLYsWNx6tQpZGdn4/jx4xg+fDiICK+88oqitRbEHvMHgHXr1kGn0+HJJ5/EyZMncevWLSxcuBBGoxGtW7dm/5STR/XPrFmzEBgYiPv37ytaX0nYY/63bt1C3bp14ejoiI8++ggpKSlIT0/H/Pnz4eLigqCgIFy9elXRei3YY/5paWkgIvTo0QOnTp1CTk4O/vzzT7Rt2xaNGzfGjRs3FK21IErnDwB169bF22+/bdNtKt1v7dixA05OThg6dCiuXbuG9PR0vPjii9DpdPjll19s9ntY2Lt3L4gIBw8etPm2Lezbtw9EhAMHDthsm2r2vWr1yW+++Sbq16+v+BihoaE23aaS+0JUz1y3bl3861//svl2HxyjIvlJRP/MfiobavTR7KeiiOqp2U/Fo3Z/zX4qHTX7bPZTUUT13Oynoojov+3BT4/SI6jdZwP24afH7dfU6rXtwU/l3Rciem32U9FcRV2nZj+V7T2uRq/Nfiq6L0T02qX5qcikLwBo27YtXnrpJZsXYmHcuHGFAjp06JD1wLLgv4JvzjVr1pQY8Lx58xSrtSBmsxne3t746KOPFB1Htvx79+4txaQve80/IyMD8+fPR3R0NGrWrAm9Xg9XV1c0b94cM2bMUG3Chb3mX5AXX3yx2Pd/dHS0YvVasNf8c3JysGzZMgwYMAB16tSBwWCAh4cHOnXqhMWLFytW54PYa/4W/vjjD0RHR8PDwwN6vR6hoaGYMmUK+6ecPGr+ZrMZISEheOeddxSrrTTsOf+bN29i0qRJCA0NhcFggF6vR506dfDyyy/j+vXritVaEHvOf8OGDejXrx8CAgLg7OyMhg0bYvr06aq5B1Av/+effx6dOnWy2fbU6rf27t2Lnj17wt3dHa6urujSpQu2bdtms9+jIB9//DG8vLxgMpkU2T4AmEwmeHh44NNPP7XJ9tTYDyL65I4dO2LUqFGKbNvC2rVrodFokJKSYpPtKb0vRPTM169fBxEpdvHHQkXzk4j+mf1Uum/U7KPZT0X3hYiemv1U+udCzf6a/VTyflC7z2Y/Fb8v1O652U8l7wu1+2978NOj9ghq9tmAffjpUfaF2r22vfipvPtCRK/Nfiqaq6jr1Oyn0t/javXa7Kfi94WIXrs0PxU76etf//oXgoODkZ+fr0hBFZXff//d+qZQEs6/eDh/sXD+YuH8xcL5i4XzFwvnLxbOXyxq5b948WI4Ojri2rVrio5TkenUqROeeuopxccZMGAAunTpovg4FZUrV65Ap9Ph+++/V3ScjIwMODs744svvlB0nIrMZ599BhcXF2RmZio6Dvvp4bCf5ID9JA/sJ3lgP8kB+0ke2E/ywH6SA/aTPLCf5IH9JAfsJ3lgP8lDaX4qdtLXmTNnoNFosG7dOkULq2jExsaiZcuWio/D+RcP5y8Wzl8snL9YOH+xcP5i4fzFwvmLRa38s7Oz4e3tjRkzZig+VkXk+PHj0Gg0it9RBvx9N69Go8HJkycVH6siMn36dPj4+CA7O1vxsZ555hk0btxY8XEqKk2bNsXzzz+v+Djsp9JhP8kD+0ke2E9ywH6SB/aTPLCf5ID9JA/sJ3lgP8kB+0ke2E/ywH6Sg4f5qdhJXwAQFRWFHj16KFZYRePSpUtwdnbG3LlzVRmP8y8M5y8Wzl8snL9YOH+xcP5i4fzFwvmLRe38X331VQQHB+Pu3buqjFeReOGFF1C7dm1Fl9a3kJ+fjxo1auDFF19UfKyKxp07d1C1alVMmjRJlfG2b98OIsLGjRtVGa8isX79ehAR/vzzT1XGYz+VDPtJDthP8sB+kgf2kxywn+SB/SQP7Cc5YD/JA/tJHthPcsB+kgf2kzw8zE8lTvravHkziAjJycmKFVeRePbZZ1GzZk3k5OSoMh7nXxjOXyycv1g4f7Fw/mLh/MXC+YuF8xeL2vmnpKTA3d0dU6dOVWW8isKBAwfg4OCA7777TrUxv/nmGzg4OODgwYOqjVkRSEhIgJubG65fv67amL169ULjxo350bMFyM/PR0REBPr376/amOyn4mE/yQP7SQ7YT/LAfpIH9pMcsJ/kgf0kD+wnOWA/yQP7SR7YT3LAfpKHsvipxElfANC3b180aNBAlaXzZGbHjh2qix7g/C1w/mLh/MXC+YuF8xcL5y8Wzl8snL9YROX/73//G0ajkZd2///k5+ejQ4cOaNWqFcxms2rjmkwmNG/eHB06dOCTPf+fEydOwGg04v3331d13KNHj0Kn02H27Nmqjiszs2bNgqOjI06cOKHquOynwrCf5IH9JA/sJzlgP8kD+0ke2E9ywH6SB/aTPLCf5ID9JA/sJ3lgP8lBWf1U6qSvixcvwsvLC6+88orNC6woZGVloW7duoiOjlZV9ADnD3D+ouH8xcL5i4XzFwvnLxbOXyycv1hE5p+Tk4MWLVqgSZMmdj/xDgDeeustODs748CBA6qPvW/fPjg5OeHtt99WfWzZyM7ORuPGjdGqVSvk5uaqPv60adNgMBiwe/du1ceWjV27dkGv1+Pdd99VfWz2U2HYT3LAfpIH9pM8sJ/kgP0kD+wneWA/yQH7SR7YT/LAfpID9pM8sJ/koax+KnXSFwAsWbIEGo0G33//vc2KqyiYTCYMHDgQAQEBqi4hWBDOn/MXBecvFs5fLJy/WDh/sXD+YuH8xSJD/qdPn4aHhwdGjhyp+qQzmfjxxx+h1Woxb948YTXMmTMHWq0Wq1atElaDaMxmM2JjY+Hl5YVz584JqcFkMqFr166oXbs2rl27JqQGGbhy5Qpq1qyJ6OhomEwmITWwn/6G/SQH7Cd5YD/JA/tJDthP8sB+kgf2kxywn+SB/SQP7Cc5YD/JA/tJHsrjp4dO+gKAV199FQaDAb/++utjF1eReOmll+Dk5IQtW7YIrYPz5/xFwPmLhfMXC+cvFs5fLJy/WDh/sciS/88//wxHR0e89tprQusQxfr162EwGDBu3DjRpSAuLg5OTk7YuHGj6FKE8Morr0Cv1yM5OVloHSkpKahXrx4iIiJw48YNobWIID09HQ0aNEBYWBjS0tKE1sJ+Yj/JAvtJDthP8sB+kgf2kxywn+SB/SQP7Cc5YD/JA/tJHthPcsB+kofy+qlMk75MJhOGDx8ONzc3/Pbbb49VYEXAbDZj4sSJcHBwwIoVK0SXw/kLhvMXC+cvFs5fLJy/WDh/sXD+YuH8xfP999/DwcEBEydOFHZXlQjWrl0Lo9GIESNGSPF7m0wmDBs2DK6ursJPPKmJyWTChAkT4ODggOXLl4suBwBw4cIFVK9eHS1atBC2Ep8Irl69iqZNm6JmzZq4dOmS6HIAsJ/YT2JhP8kD+0ke2E9ywH6SB/aTPLCf5ID9JA/sJ3lgP8kB+0ke2E/y8Ch+KtOkLwDIy8vD0KFDYTAYsGTJkkcuUnZyc3Px9NNPQ6/X47vvvhNdjhXOXyycv1jsKf8hQ4Zw/oLg/MVi8Y+joyO+/fZb0eVYsbf8+f0vBs5fLLLmDwCLFy+GwWDAoEGDcO/ePdHlKM6cOXOg0+kwcuRI3L9/X3Q5VvLy8hAbGwtHR0ehy/2rxd27d9G/f384OTlJ95jX06dPo27duqhZsyaOHDkiuhzFOXToEKpXr4769evj7NmzosspBPtJDthP8sB+kgf2kxywn+SB/SQPixcvhl6vZz8Jhv0kD+wnebAcPw0YMID9JBD2kzxY/FS9enX2k2C4vysbZZ70Bfw92/L111+HRqNBfHw88vLyyl2ozJw/fx5t2rSBu7s7NmzYILqcInD+YrGH/Fu1asX5C+L8+fNo164dnJyc4OzsjPHjxwt7bnVx2FP+np6eSEhIkGrpVnvIv23btnB1dYVGo0GTJk3w/fffIz8/X3RpAOwj/zZt2sDNzY39LwBL/kajkfMXwPnz59G6dWsYDAZp7iZ7kC1btsDHxwdNmjSptCcZ7ty5g1GjRkGj0SAiIgK7du0SXVIRzGYzEhISoNFoEBcXhzt37oguSREOHz6MRo0awdfXF9u2bRNdTrGkp6ejQ4cOcHd3x6JFi0SXoxjffPMN3NzcEBUVJdVxaUHszU/Tpk0TXU6xsJ/Ek5ubi6SkJDRt2hRhYWHsJwmYO3cuXF1d2U+CMZvN+Oc//wmNRoPRo0eznwSSnp6OyMhIuLq6sp8EsXXrVvTp0wdGoxHe3t6IiIhgPwli9+7diI2NRcOGDfn4STBmsxnfffcd3N3dYTQa2U+CyM3NxYIFC1CrVi04Ozvz8ZNA9u/fj7i4ODg7O7OfBGIymbB69Wq0bNkSRqOR+zvB7N+/H/369YOTkxP7qRTKNenLwpdffgmj0Yg2bdrg9OnTj7IJ6Vi2bBm8vLzg6OiI6Oho7NixQ3RJJVJZ8/f09IROp0NUVJSUFz0tVNb8XV1dodPp0LRpU6xevRpms1l0WcVSWfP38vJCcHAwQkNDMXz4cNSoUQNarRZ9+vTBzp07RZdopTLnHxQUhGrVquGJJ56Ap6cnXF1dMX78eFy8eFF0iVYqe/6+vr4YM2YMBg8eDJ1Oh1q1amH27NnIzs4WXSaAypu/h4cHPD094eTkhDFjxuD48eOiyyqWypq/xf9EhMjISPz4449SLlVcmfOvVasWPDw84OTkhFGjRuHQoUOiSyvCmTNn0KZNGzg7O+OTTz6R8j3yqOzcuRP16tWDr68vpk6diqZNm4KI0L59eyxbtkyaCcAWfvzxR/j4+KBevXpSHaM9LiaTCR999BGcnZ1RpUoVvPfee9JlX5CcnBy89tpr0Gg0GDp0KNLT00WXZDPS09MxePBgaDQaTJw4Ebm5uaJLKhV78dPKlStFl/NQ7MFP7dq1k+rmqPT0dPzf//0fAgMDodfrERsbi3379rGfBJGXl4clS5agTZs2ICI0bdqU/SSQEydOYPz48XB3d4der4eHhwf7SRA3btxAYmIiqlWrBqPRyH5SEctF47Zt24KI0KZNGzz77LMICgqCv78/+0lF8vPzsXz5crRr1w5EhMaNG+Ppp5+Gt7c33N3d2U8qk5ubi6+//hphYWHQaDSoU6cOvLy82E8qYzmW9ff3h8FgQL9+/dC1a1dUrVqV/aQylonBGo0G9erVw3PPPYfw8HA+flKZzMxMzJ4923p99oknnsD48eNRs2ZN9pPKWI6hOnfuDCJC/fr10alTJ1SrVo39VAKPNOkLAI4ePYrGjRvD2dkZ06ZNQ05OzqNuSihnz55Fnz59QER44YUXMHfuXDRu3BhEhI4dO2LFihVSvmkqa/4LFy5Eq1atQERo1aoVlixZItXSmhYqY/5GoxGenp5o1KiR9cBi9uzZUi6VWBnzj4uLw9atW9GvXz9otVrUrl0bL7zwApo3b2698CnLZLzKmv+ePXswcuRIGAwG+Pn5ITo6GoGBgXB0dERsbCwOHz4sumQAlTf/kydPYtKkSfD09ITRaMTw4cPxzDPPwMnJCf7+/khISMDt27dFl10p8+/atSscHR1RrVo1BAcHWyecbty4UXSZRaiM+cfFxeHevXvYtGkT+vTpA61Wi5CQEHz66afIysoSXWohKnP+OTk5WLBgARo0aGD9u5uUlCTVpJf79+/jnXfegU6nQ4sWLfDHH3+ILumxuH79Op5//nlotVp0794dV65csb62detWxMTEQKfToWrVqkhISMDNmzcFVluYy5cvo1u3btBqtRg1ahRSUlJEl/RYbNu2Dc2aNYNOp8Pbb7+NuLg4ODo6Ijw8HKtWrRJdXqkkJyejatWq8Pb2xueffy7VZ7a83L9/H59++im8vb0RFBQk9Y1QD2JPfpKdyuynKVOmSHN+6PTp0xg/frz1ru/ibhZiP6lHamqqdUKLpZex1Mh+UheTyYQNGzYgJiYGDg4OCAoKQkJCAtLS0thPAjhy5AhefPFFuLi4wMPDA+PHj8err74KJycneHt7s58UxNJf1q9fH1qtFp07d0ZMTAyMRiPc3NwQFxeHw4cPs59UICsrC3PnzrXui8jISHTp0gV6vR5+fn546623sG/fPvaTSmRlZWH27NmoVq0adDodgoKCoNVqUatWLfznP//BmjVr+PhJBc6ePVvoWLZ79+6IiIgAEaFFixZYvHgx+0kFLCusNWzYEESE1q1bY+TIkahevbr1mDY5OZn9pALnzp1DfHy8dTGIIUOGIDY21roKYVxcHFasWMF+UoHs7GwsWLAA4eHhICI0bNgQbdq0sfYWs2bNYj+VwCNP+gL+voPq/fffh6urK0JCQrBo0aIK8yZPTU1FfHw8nJycEB4ejk2bNhV6/ddff7VeeKtduzZmzJiB69eviym2BCpD/s7OzggJCcHAgQORmZlpfX379u0YNGgQHBwcEBwcjISEBFy6dElgxUWpLPlb3v83b95EfHw8DAYDatWqha5du1qbn8mTJ+PUqVOiyy5EZcu/IKdOncLLL78MV1dXuLu7Y+DAgejYsSM0Gg0aNWqEuXPnCr/QXpnzv3btGt5++234+fnBYDCgbdu2qFWrFjQaDbp164bVq1eLKbwAlTn/rKwsfPzxx6hTpw60Wi26dOmCoUOHwsPDA+7u7oiPjxd+N0VlzP/EiRPo2bMnNBoN2rdvj8jISOsdFImJiVJNtqiM+RfEchHRxcUF7u7uiIuLk2rlqcqeP1D47rqQkBDMnj1bqqXUDx8+jC5duljvMJPp/VEWbt68iSlTpsDDwwPBwcFYsmRJiZPaz5w5U+ikS1xcHI4dO6ZyxcVjNpuxePFiBAcHw9PTE9OmTcOtW7dEl1UuDhw4gJiYGOsxTsHl0c+fP4/Y2FhoNBq0bt0av//+u8BKSycjIwNvvPEGHB0dERERgWXLlkl541ZJmEwmLF26FA0bNoRer8ekSZMK9cYVicriJzc3t4f6SWYK+snd3R1Tp06tVH4SiWVSsoODA2rVqoXExMRSb0xhPynLvn37EBcXV2hCS0krBVQWP5Xl+EkEGRkZmDt3LsLCwgrdQPHghbzs7Gw8+eST8PX1rZTHTzJgedxst27drP3MjBkz8PXXX6NmzZowGo1ISEhASkoK+0kBUlNTkZCQAF9fXxgMBnTs2BFt27a17ovExMQi73n2kzJcu3YNCQkJ8Pb2hsFgQJs2bawTK5o2bYqvvvqq0JMFKnt/JxrLZ8PT0xN6vR6enp7QaDTo2rUrVq5cWcg/fPykHHv27EFsbKx1wl3Hjh3h6+sLR0dHDBs2rMjkCfaTMqSlpSExMRFBQUHQ6/WIjo5Gv3794OzsDE9PT7z++uuFnrLAflKOgp+JgIAAxMTEWN/zlsmoBa+LsJ+Uw/J328fHB3q9Hi1btkRISIj16ShLly5FXl6e9fvZT0V5rElfFi5duoSRI0dCp9Ohfv36+Prrr6V5FNODXLx4EZMmTYKrqyv8/Pzg4+ODp59+GhkZGcV+/4kTJzBhwgTrox8HDRqEDRs2SPGHwUJFzb9KlSqYNWsW1q5dC19fX9SoUQPJycmFvt8yu7ZKlSpwcHBA3759sWbNGqkuLlb0/AtKEgBOnjyJmJgYEBE6dOiAcePGoVq1atY/xsuWLSvyMyKpbPkX5NatW5g5cybq1atnXXa6Xbt2cHR0REBAABISEoQf3FXm/LOzszF//ny0aNECRITq1aujdu3aICK0bdsWy5cvF+6iypy/yWTCypUrER0dDa1Wi6pVq6J79+7w8vKC0WjE+PHjhU8Groz5r169GrVq1bLewfLss8/CxcUFbm5uGDNmDA4cOCCg+uKpiPkbjUZ4e3s/9P0P/H0C4L333rNOOu3evTtWrFgh3DsWKmL+ZfWPhcOHD2P06NFwdnaGl5cXJk+ejAsXLqhQcdn44YcfEBERAY1Gg/79+2Pr1q2iSyqV8+fPIz4+Hm5ubvDy8sLUqVPLPJnu9u3bmDlzpnV59f79+2Pjxo1S9GR37txBQkICvLy84O7ujn/+859SPRr6QcxmMzZv3ox+/fpZbyhYsWJFid+/a9cudOnSBUSEbt26Yf/+/SpWWz6OHz+OQYMGQavVIiwsDF9//bWUqxZbuHv3Lr788kuEhoZCq9Vi8ODBOHHihOiybEJF9pPlkdeTJk2SwjGPw4oVK+Di4mKdSF7Z/KQWlsdKWB4Z2Lx5cyxYsKBcd6Wzn2xHXl4eli9fjqioKBARGjRogC+++AJ3794t088X9FO/fv0qlJ/Ke/ykBgcPHkRcXJx19aJx48aVOEF/165daNCgAVxdXTF//vxKffwkglOnTmHSpEnw8/ODTqfDgAED8Msvv2DHjh1o164dtFotYmNjce3atUI/x36yDWfOnLHevOXl5YUWLVrA09PTui/WrVv30IvCFfn4SSY/7du3D7GxsXB0dIS3tzeaNWsGo9EIJycnDB8+HFu2bCn15yt7f6c2586dwyuvvAKDwQCDwQCtVgsPDw+MGzfuoU/VYD/ZBsuxbLdu3UBEqFGjBurXrw+NRoPq1atjypQpuHr1aqnbYD/Zhgdv9I2MjLROamnatCnmzJlT6lMf2E+24cHPRFhYGKKjo+Hn5wcHBwf07NkTq1atKvXvNvvJduzYsQPDhw+3/t2OiIiAXq+Hm5sbXnjhBezdu7fUn2c//Q+bTPqycOrUKTz77LPQ6/Xw9vbGq6++KsXjsPLy8rBmzRr07dsXDg4OCAgIwMyZM3H37l1s2LABgYGBqFGjBrZt21biNu7du4cFCxagffv2ICLUqVMHCQkJOH78uIq/SelUxPwtpKSkIDY2FkSEmJgY3Lhxo9A2cnNzsXTpUnTt2hUajQbVqlXDP/7xDxw8eFDtX6dEKnL+xbFx40Y0adIEOp0Oo0ePxqJFi9CnTx/rNl577TX89ddfKv0WD6ey5V8Qs9mMjRs3YsiQIdDr9XB3d0eLFi3g6uoKAeQs5wAAIABJREFUNzc3KSa/VOb8AWD37t0YPXo0XF1d4eTkZJ0IWatWLcyePVv4bPjKnv/p06cxefJk68nLBg0aWGf8x8bGCl/1pbLlf+/ePSQmJsLV1RV169bF0qVLMWvWLNSvXx9EhDZt2uDzzz+XZvWvipR/jx494OLigqVLl5Z5Ow8+IiUwMBDjx4+X5hioouRvNBoxYsSIcvsH+HvCkeXxA1qtFt26dUNSUpIUk+DNZjNWrlxpfTx6aGgoZs6c+dATdmpx7949JCUlWSfwBgQEIDEx8ZH/bubn52PZsmXWnqx+/fr48MMPi/QOIsjIyMC///1v+Pv7Q6vVomfPnli+fLk0kyGvXLmC9957z3ozQZs2bbBq1aoyT2rZsGEDmjVrBq1Wi5iYGJw9e1bhih+do0ePIjY21noH+dixY6XpW8xmM/7880+MGTMGHh4e0Ov1GDlypFTnFWxFRfbTggULoNfrERMTI81nuDyYzWYkJiZCq9Vi+PDhuHr1aqX2k1JkZmZi9uzZhR6vsn379sfaJvvp0Tlx4gTi4+Ot72PLKtyP8j4xm8147rnn4OLiUuH8JAO3b9/GggULrBfKLKsXldQf5uXlITExEY6OjujQoUOhJwlU9uMnpcnIyLDuC41Gg6pVqyI+Ph4XLlzApUuXrKu2dunSBfv27St1W+ynR8OyQoiDgwN8fHxQs2ZNEBFq1aqFd999t9xeqcjHTyKxnDfp06cPiAiBgYEICgqyPhbqo48+Kvc5LPbT43HgwAH07dsXWq0WOp0OGo0GkZGRWLhwYbknRrCfHg3LY2bDwsKg0WgQFBQEo9EIvV6Pp556qkyTUQvCfnp0Cq4W7O/vj4iICDg6Olrfz3v27CnX9thPj4blsYGWiU/169e3Xu+oXbs2pk+fXu7rrOynR+PevXv48ssv0bx5cxAR/P394evra10x+Msvvyx1AuSDsJ/+xqaTvixcv34d//73v1GrVi1ruG+99Rb++usv1VYnyMzMxKpVqzBy5Eh4e3tblwpNSkpCbm5uoe9NTU1F7969odPpkJCQ8NAaDx8+jFdffRWBgYHWu/w++OADXL58WclfqcxUtPwLsmbNGgQFBSEgIKDEGb8nT57EP/7xD1SvXh1EhIiICMyYMQPnz59X6tcpFxU5/wcxmUxYsGABAgIC4OXlhcTERJw+fRpTpkyx/sGuX78+pk6dKs3jHytT/sWRkpKC999/37octbe3N9zc3ODo6IjY2FjhF9ore/4ZGRmYM2cO2rZtCyKC0WiEwWCAi4sLxo8fL9xDlT3/nJwcLF68GNHR0XBwcICLiws8PT2tF2F27dplo9/i0ahs+VtOEltWdzl69Cg2btyIESNGwMXFBQaDATExMVizZk25VjpQioqQf35+PuLj46HRaBAfH1/u5Z9Pnz6Nt956C8HBwdYTZl999VW5miClkDn/pUuXYsKECdBoNJg5c+Yjbz8vLw/Lli1Djx49oNVqERgYiDfffBNnzpyx4W/x6Ozduxdjx461erFNmzZITEzEoUOHVD2xcv36dSxcuBADBw6Ei4sLHBwc0KtXL/zwww82nSh37NgxxMfHw8vLy+qjDRs22Gz7j4plBZKePXtCq9XCaDTiqaeewsKFC3H9+nXV6jCbzTh06BBmzJiB1q1bQ6PRwNPTE+PGjXvoRb/StpmUlIQ6depAr9cjLi4OqampNq7cdqSkpOA///kPQkNDrXc0jx8/Hr/++quqd2Deu3cPGzZswMsvv4xq1apZ7ySdOXOm1PnZEhn9ZDQaS/XTxo0b4eHhgc6dOwtfXbk8pKamokePHjAYDJg9e3ah1yqzn2yJZcX5go8WtvVd0OynspGdnV3oMXVBQUGIj49/rGOv/Px8vPzyy9BoNEhISKiQfhKByWTC+vXr8fTTT8PJyQkuLi6IjY196Mqr+/btQ5MmTeDi4oLExMQS+x/2U9nJz8/Hzz//jKFDh8LZ2RlOTk4YPHgwfvrpJ+Tn51tXAXFyckLdunWRlJRUru2znx6O2WzG6tWrravhenh4WG80Gj58OJKTk23yqCf208OxTGqxXLR3d3eHRqOBt7c34uLiijyq7lFgP5WPpUuXWvcHEcHX1xeTJk2yySQD9lPZSE1NxYwZM+Dj4wMHBwc4OztbV5KaOXMmUlJSHnsM9tPDsawmZZmEYnnUrIODA7p37/5IEyAfhP1UNq5fv2593K/lMY4ODg5wd3cv0/FsWWA/lY3Tp09bz+Va9gERoVq1apg0aZJNFnewZz8pMunLgslkwpYtW/Dqq6+iRo0a1oPg3r17Y8aMGUhOTsaVK1cee5z79+/j6NGjSEpKwuuvv46WLVtCp9NBq9Wiffv2+OCDD3Du3LlSt2E2mzF79mwYDAZ07ty5TLM58/PzsXHjRowaNQpeXl7W8d59910pRFaR8i/IrVu3EBcXZ131Ky0trdjvM5vN2Lp1K1566SX4+vpCo9GgVatWmDZtGvbs2SN81nBFzb84SjphsGvXLkyYMAEBAQEgIjRr1gzvvPMOdu3axfnbMP+SOHDgACZPnozg4GAQEQwGA4gILVu2xKpVqxQZs6zYQ/6nTp3ClClTUKdOHRCR9a6ldu3aCV9C1B7yv3r1Kj744AM0btwYRAS9Xm+9g0/0MsGVLf/ffvvNegfS+PHjkZmZab07wXIBxtvbG7GxsVi9ejVycnIee8zHoSLk/+2338LZ2Rk9e/Z8pAvJlrtYY2Nj4eLiAicnJ/Tp0wcLFiwQPgFM5vw/+ugjaLVajB8//rFPwl+6dAmJiYnWmxCaN2+O2bNnS9FA37t3D6tWrcLzzz9vvUvKx8cH/fr1w/vvv4/k5GSbrRB6+/Zt7NixA/PmzcNzzz1nvSlAr9cjOjoaYWFhaN68uaInOCx36jVt2tR6MqO01SbU5MqVK5gzZw6io6Otf6fq16+P559/HvPmzcPOnTuRkZFhk7EuXryI5ORkJCYmom/fvvD29gYRwc/PD6NGjcLq1attdtdnXl4e5s6dC39/f+uNITIvYw/8vWrrv/71L+uNE3q9Hu3atcPkyZOxbNkyHDlyxCYnXfLy8nDkyBEkJSVh0qRJaNeunXXfR0REoF27dnj++edt8BtVTGTy0xdffPHQuz4PHTqE6tWrIzw8XPjNHWVh8+bNqFq1KmrUqIE///yz1O+trH56HHbv3o3Y2FjodDoEBgYiISFBlb8lD/pJp9MJ8dPbb79d7lUGlGL37t2Ii4uDm5sb9Ho9+vTpg6SkpMe+0eTOnTvo27cvDAYDlixZUui1iuYntTh8+DDi4+NRtWrVQse8D1tlNTs7G/Hx8XBwcCiyutfDYD8VJT8/H1u3bsX48eOt52At+8Jy3ry4G3cftzeX5fhJFj/l5uZizpw51vOwlvOA7du3x9y5cxVbTYb9VJSUlBRMmDABRqMRWq0WWq0WTk5OGDp0KFavXv3YN52WBPupKJaVZIYNGwaj0QgigqOjI3r37o2tW7cqdo2I/VSUw4cPo1+/ftZzY0SEunXrYurUqYqt7MN+KkpmZiamT58OHx8faDQa6/7o2LEjPvvsM5tMuisO9lNR9u/fj5iYGOh0Ouj1emi1Wjg7O2Pw4MH44YcfFKuR/VQYk8mEdevWISoqyvqZsKzuNX78eGzfvl2RvxX26CcNAJBKHD58mDZv3kxbtmyhbdu20dWrV4mIyNvbm+rVq0cBAQFUrVo1qlKlCnl4eJDBYCAXFxcyGAyUlZVF+fn5lJWVRZmZmXTp0iVKSUmhixcv0smTJykvL490Oh2FhYVRVFQUdezYkTp27Ej+/v7lqvHIkSM0bNgwunTpEn3xxRc0ZMiQMv1cbm4uJScn06pVq2jt2rV0/fp1CgoKol69elHPnj0pKiqKvL29y52ZLakI+Rdk7dq19OKLL9L9+/fps88+o6eeeqrE771//z5t2LCBVq5cSWvXrqUrV65Q1apVqVevXtSrVy/O30ZcvnyZ3nzzTfr222+pU6dO9OGHH1KTJk3IZDLRb7/9RitXrqSffvqJLl68SAEBAdS7d29r/j4+PjatpbxUhvxLwmw207Zt22j58uWUlJREKSkpRERUpUoVGjlyJE2aNIn8/PxUqaUkKnP+REQ7d+6kZcuW0eLFi+n69etE9L/84+Pj+f2vMIcOHaKkpCRavHgxnT17loj+zn/UqFEUHx9PHh4eqtVSHJUh//z8fPrss88oISGBjEYjzZgxg2JjY0mj0dD58+dp6dKl9MMPP9Du3bvJw8OD+vTpQwMGDKAePXqQq6urTWspL7Lmv3PnTho4cCC5ubnRypUrKSws7JF+v5s3b9IPP/xAS5cupf/H3pmHx3S+//+eycxkX4kEERIRWWwRX0sSYgm1BLUMqUgpNUUZRXX6Le2UfvQz1DKlwSitWNtRSogtlhCRIvbsizWRheyLbJP374/+5nwTgkgmmZnI67pycV3knPucM/Oc53nu9/2+w8LCSF9fn3x9fYnP59MHH3xAhoaG9TquqtC0+3/48GHy9/enUaNG0b59+0hfX79B11dZWUmnTp2iffv20dGjR6mqqopGjx5N06dPp1GjRjX4+A1FoVDQzZs3KSIigi5fvkxXrlyh9PR0IiIyNTUlR0dHatu2LbVr146sra3JxMSEDA0NicvlkpGREZWXl1NxcTFVVFRQQUEBZWZmUkZGBj19+pQePnxIT548ISIiQ0ND6tOnDw0cOJA8PT3J09OTjI2NKTk5mTw8PKhfv370999/E4fDadTrvXr1Km3bto3+/PNP4nA45O/vTwKBgNzc3Br1vHWhsLCQLl++TBERERQeHk43btyg4uJiIiKytbWljh07Ms/BysqKTExMiMvlkqGhIfF4PCoqKqKKigoqLi6mgoICSk9Pp6dPn1J6ejolJSVRfn4+ERG1a9eOPDw8yMvLizw9PcnNzY10dHQa5ZqKioooMDCQfvzxRzI2NqbvvvuOZs2a1ejPuaE8evSILl26RBEREXT27Fl68OABVVVVEZfLJQcHB+rQoQNZW1tTu3btyMzMjMzNzYmIyMzMjIiI8vLyiIgoNzeX8vLy6OnTp5SRkUFPnjyh5ORkqqioIB0dHXJ2dmaew6BBg8jW1pb27NlDM2bMoD/++IOmTJmitnugCah7fKorqampNHr0aMrOzqYTJ05Qz549G+V+NAQAtGnTJlq2bBmNGjWKdu3axXxu60JzHJ/qikKhoCNHjtCGDRvoypUr1KdPH1qyZAlNnjyZuFxuk8ezYsUKWrNmDU2ZMoXu3LlD8fHxpFAommR8UjcZGRm0f/9+2rlzJ8XGxlL37t1p9uzZNH36dJWsp9PT02ns2LH08OFDOnLkCHl5eb32/2rL+NQYAKDr16/TwYMHSS6X0+PHj8nZ2Zn8/PzIz8+PHB0d33qMq1ev0ieffEJpaWm0atUqWrhwIbHZ7HrF8z6PT0VFRXTmzBn6+++/6fjx45Sfn099+vShSZMmEZ/PJ3t7e+b/nj9/npYuXUrR0dE0a9Ys+uGHH6hNmzYqjaf6/Ony5cvv1fh0+/ZtEovFdOrUKSovLyc2m039+/cnf39/mjRpUpPuf73P41NlZSXt37+f1q9fT/fu3SMApKenRx988AFNnTqVxo4d26T7T+/z+JSTk0MXL16kY8eO0eHDh5lYO3bsSIsXL6bPP/+8SdeE7/P4lJCQQLt27aI9e/ZQWloaERF16NCB/P39yc/Pr0nXLu/z+FRWVkanTp2ijRs30uXLl0mhUJCOjg4NGDCA+Hw+TZo0idq3b99k8bzP41N2djbJZDLavn07PXr0iIj+/cwocxW+vr5Nulf+Po9PkZGR9NNPP9Hp06eppKSEiIjat29PkydPpokTJ5KXl1e91wjvyvsyPjWp6OtlsrOz6d69exQTE0PJycmUkZFBaWlplJmZSQUFBVRWVkbFxcVUXl5ORkZGxOVyydjYmExMTKh9+/ZkbW1NNjY25OTkRK6uruTi4kK6uroNjuvFixf09ddf06ZNmyggIIC2bt36ToMAALp58yadOHGCQkJC6Pr160RE1K1bNxo8eDB5e3vTwIED1S7C0NT7X538/Hz66quv6Ndff6XJkydTYGDgW+8bALp9+zaFhITQ8ePHmfvfo0cPGjx4MA0ZMoQGDhz4TpugjYE23P/Xcf36dVq8eDFFRkaSv78/rV27lqytrZl/v3PnDoWEhNCxY8fo2rVrRETk6upKgwcPZhKyqt58eFe0+f6/jejoaAoMDCS5XE45OTlE9O8EbPz48TRy5EgaNGgQM2lQF835/sfFxZFUKqW//vqLuf+2trY0ZcoUGjduHPXv318tCYTqNOf7n5ycTFKplA4cOEA5OTnEYrHI0dGREXn07t27ySaTr0Ob7392djatWrWKAgMDycvLizZt2kQ9evRg/v3x48d0+PBhOnToEF25coU4HA4NHDiQEWE7OTk1SZxvQpPu/9OnT2nixIkUFxdHe/fupbFjxzbo2rKyshgBcHh4OPF4PBoyZAiNGzeOfH19ycbGpkHHVwWacP/DwsJowoQJ1KtXL/r7779V9k4sKCigQ4cO0d69eyksLIwMDAwYAZ4mCMCUZGdnU0xMDMXFxVFSUhJlZmZSWloaZWRkUFFRERUVFTGLWR6Px2z6GBsbU5s2bcja2prat29PNjY2zDPo1KkTsVisWs937do1GjJkCE2fPp1kMlmTXGNubi4FBQWRTCaj+Ph46tmzJ82cOZP8/f3VvgZTAoAePnxIsbGxFBMTQ6mpqcxzyMrKosLCQuY5lJeXM8/ByMiIjI2NmU0hS0tLksvlJBAIaMGCBWopdHn+/DmtW7eOpFIp2dnZ0apVq2jy5Mmv/UxoEtOnT6fExETavn07xcXFUXx8PKWmpjLfi4KCAsrNzSUiYv5UriPNzc3J1NSU2RRq3749OTs7k7OzMzk5Ob12bJo/fz7t2bOHIiMjqVu3bk1zoVrCy+PTvn37yMrKisrLyxtlfKor+fn5NHHiRLp58yaFhISQh4eHiq644eTn59OsWbMoODiY/vOf/9BXX33V4Ot91/GJw+GQgYEBmZqa1hifrK2tycHBgVxcXMjV1VXthXjVyc7Oph07dtCWLVsoNTWVxo4dS0uWLKFBgwapLaYHDx5Q9+7dSSQS0bfffktE/yaQ4uLimmx8amry8vLo8OHDdODAAbpw4QIZGRmRn58fzZ49m/7nf/5HZeeJjo6mMWPGEI/HoxMnTlCXLl3e+RhNPX9qSsrKyuj8+fN09OhROnbsGD19+pTs7e3Jz8+Ppk6dWmO99yZKS0vp+++/p3Xr1tHQoUNpx44dKk84qWr+pKnjU1JSEoWEhFBISAiFh4dTRUUFeXh40KRJk2jixImv3M+kpCRavnw5HTx4kHx8fGjjxo1NNrdozuNTUVERhYWF0V9//UXBwcGUm5tLLBaLunbtSgsXLqRp06apfV+1Os15fIqLi6PQ0FDat28f3bx5kyorK4nL5dLAgQNpyZIlNHz4cOLxeOoOk4ia9/iUnZ1Nly5doosXL1JYWBgjuuNyuaRQKGjUqFG0Zs0acnFxUXeoRNR8x6eqqiqKiYmhixcv0sWLF+ncuXPMNZiZmdHEiRNp5cqVGrH3p6S5jk8FBQWMeOTkyZN09+5dRujl5uZGixcvpvHjx6u9EFdJcx6f0tPT6dKlSxQWFkbHjx+n1NRUIiIyMjKisWPHklAopL59+6o9H6SkuY5PCoWC7ty5Q+Hh4XT48GG6du0alZaWEovFIjs7OwoICKAZM2aQnZ2dWuOsTrMcnxrdS0yLOXz4MCwsLODs7Izbt2/X+zg5OTk4evQoFi9eDHd3d+jo6IDFYsHV1RWff/455HJ5k/bX1UZOnToFW1tbmJubQyaTvdPvZmdn48iRI1i0aBF69uzJWP66ublh8eLFOHr0KJ4/f95IkTdfqqqqIJfL0alTJxgaGkIsFtfa1qWgoAChoaEQiUTw9PQEl8sFEcHe3h4BAQGQyWRa0SpDW7l79y6mTp0KPT09sNlssFgssNlsuLi4QCAQQC6Xv9WWv4X6c/fuXUyaNAl6enpgsVggIujp6cHHxwcSiQRRUVFqb4XanLl06RIGDRoENpvN2Ma2atUKfD4fMpkMjx8/VneIWktUVBQ8PDzAZrMREBBQayvmZ8+eQS6XQyAQMC0o7OzsmLFH3W0INYXS0lJ88skn0NHRgUQiUdlxlfc/ICAAJiYmICK4uLhAJBI1qsW+thAdHY0OHTrA1dW1UcaCZ8+eISgoCL6+vuBwONDX19eYFpzqIDg4GDo6OlizZk2TnzsqKgpCoRAWFhbQ0dGBj48P5HK5SqzUNYXx48dj8ODB6g4DDx8+REBAAFgsFvr164ewsDB1h/RG8vLyYGBg8M7ry4ZSXl4Ob29v2NnZtaxD30B8fDyICFeuXFF3KAD+bek0ceJEGBgY4PTp0+oOB8C/45u9vT1sbGxw+fJltcSQn58PIsKpU6fUcv53JT4+HkKhEAYGBjAxMYFAIEBsbKy6w0JVVRV8fHzQo0ePRmtJpSm8ePECwcHBTJtyXV1dZo5UVFSk8vOFhobC1NQUHh4eta5Z3ldycnKYtYKpqWmD1wqRkZFwdnaGiYkJZDLZe7/WqCsVFRUIDw+HSCSCi4sLiAiGhobw9fWFTCZDWlparb+Xk5MDkUgEXV1dODk54fjx400cefMjJSUFUqkUPj4+TGskFosFAwMDBAQEtORumojMzExmH6lDhw4gIqZNXceOHbFhwwYoFAp1h9nsqZ7PcXd3Z/Jpjo6O6NWrFwwNDWFkZIQvv/wSqamp6g632VJZWYno6GjIZDLw+Xy0atUKRARdXV3o6+uDxWLBy8tL49fdzYGMjAwEBwe/kuPU09MDEcHW1hZr1qxp9vN4TSAlJQW7du3CrFmz0KVLF+Y9weVymT2/iIgIdYfZ7KmoqEBUVBSkUin4fD7MzMxqvLPbtm2LL774oiX33MS0iL7ewuPHjzFo0CDo6elBKpWqZNFaWFhYQwSjXEi0bdsWfD4fUqkUUVFRLRPYlyguLoZIJAKbzcaYMWPqPaGsbdL6sggpOjq6ZYOijpSUlEAikcDExAQ2NjYICgp6471Tfv7FYjF8fHygq6v7yv2/f/9+E17B+0FBQQFkMhm6du0KIoKNjQ0cHBzAZrOho6NTQwSWk5Oj7nCbHS9evEBQUBCcnZ1BRDA3N4ehoSGICG3atGkRITUy9+/fh1AohJ6eHoyNjeHo6Fhj7BEIBBrTa16bqKqqQlBQEKysrGBhYQGpVIrKyspa/29lZSWioqIgFovh7u4OFosFfX19RgAZFxfXxNFrHjKZDFwuF35+figuLlbpsV+8eIHQ0FAIhUJm49TS0hIBAQGQy+UoKChQ6fm0hbS0NPTs2RPt2rVrUIHH23j+/DkjAONyuTUEYO/Tvd+6dStYLBZ2796tlvO/ePECcrkcvr6+0NHRgbm5OQQCAW7cuKGWeFTJ6dOnQUS4e/euukMBAFy7dg1Dhw4FEcHHx6dRv18NYfPmzdDX10dubm6TnzsjIwM2NjYYPnz4a9+d7ztbtmyBsbGxRgk0KysrMXPmTPB4PBw6dEitschkMvB4PAwdOlStiejCwkIQEUJCQtQWw9tQKBQIDg6Gj48PWCwWunTpAolEopbv/uvYunUrOBwOrl+/ru5QGoXKykqEh4dDIBDAxMQEbDYbnp6ekEqljSrE+u2338DlcsHn81vWevhXnC2TyeDr6wsejwcdHR3mOdR3L+LFixcQiUTQ0dHBiBEj8OjRIxVH3fzIzMxEUFAQ+Hw+U5xjb28PoVCI0NDQNyaMy8vLsWnTJrRq1QqWlpbYunVryzyinmRlZTHiovbt24OIYGZmhrZt24LFYsHOzg5SqbRl7GhkiouLa+RpWCwWOBwO2rZtCz09PXC5XPj7++PevXvqDrVZk56ejr/++gsLFy5E9+7dwWKxoKOjg969e2Px4sXYtGkT/P39oaurCysrK6xevVqj5lHNBaWIQiKRwNfXlxFRWFpaYujQofDy8oKhoSEMDQ0xf/58JCUlqTvkZktaWhrzjnBxcWG+E127dkX//v1haWkJNpsNX19fnD9/Xt3hNlvKy8sZYVFAQAA6duwIIgKHw4GzszO6desGLpeLVq1aYfny5UhPT1d3yM2Wp0+fIjg4mMnr6+vrMwYLtra24PF4MDAwwJw5c5rFPqu20iL6qgOVlZWQSCTgcrkYMWKEygeOgoICnDx5Et9++y2GDRsGIyMjEBFMTU0xcuRIrFy5EmfPnn0vXQFqIzw8HF26dIGZmZlKqrKzs7Nx7NgxiEQieHl5MepsKysrTJw4ERs2bEBkZCRKS0tVEH3zJS0tDZ988gnYbDYGDBhQZzV1YWEhTp8+jeXLl8PLy4sRQdrb22PGjBnYunUrbt68iYqKika+gvcDhUKB0NBQ+Pr6MpsYc+bMYZwIlRNYFxeXGiLIFhGq6ggLCwOfzweHw4GFhQWGDh2KgQMHMmOPUoQkl8uRl5en7nCbFZmZmRCLxTAzM4OJiQkmTJiABQsW1CpCioqKUne4WkNhYSHEYjF4PB7c3NwQHh7+1t9JS0vDr7/+iokTJ8LY2BhEBGdnZyxduhRnz559b9+5p0+fhrm5Odzc3BrVBTM6OhoSiQSenp5gs9nMZ18qlb53VZq5ubnw9vaGmZlZk1RHviwA09PTe68EYEuXLgWXy0VoaKha40hNTYVEIoGDgwPjbCGRSJCVlaXWuOpLVVUVunbtivnz56s7lBqEhoaid+/eYLPZ4PP5GlfY4ebmhpkzZ6rt/Ddu3IC+vj6++eYbtcWgyfD5fIwZM0bdYbxCVVUVhEIhdHR08Pvvvzf5+QsKCuDn5wcWiwWRSKT2dVpJSQmICMeOHVNrHLWRl5cHqVSKTp06gc1mw8dOy5W+AAAgAElEQVTHB8HBwRpX4JeWlgYzMzOIRCJ1h6JylG6bVlZWICK4u7tDKpU2ekKmqqoKYrEYRAShUKhxz7wpqT7vZ7FYjItUUFBQgxP2kZGRcHJyanH3egtlZWU4f/48RCIRevbsCSKCgYEBfH19sXXr1joL5UJDQ5nkplAobNkvekeUYgplIZrSEd7d3R0fffQRunfvDiKCp6enRr4rmgvKgkCJRPJKMfjEiRMxaNAgcDgcWFtbQywWtzg0NgIVFRWMe1RAQEANQcvLnUHCw8OZHIKDgwOkUmmtnV5aqB8PHz6EXC7H0qVLMXDgQEZEYWNjg2nTpmHbtm2MK6dSDCkWi1vcolVMcXExLl++jI0bN2Ly5MlMtwp9fX14e3vj22+/xe+//465c+fCyMgIxsbGGuMW3Nx48uQJ/vzzT3zxxRfo168f46hmbW2NDz/8EGvXrsWaNWuYIsOuXbtCKpWqvHj6fae0tBRXrlzBhg0bwOfzYWNjAyKCjo4OevbsidmzZ+OTTz5hXGqVe6otZiLqp0X09Q78888/6Ny5M6ysrHDy5MlGO09lZSVu3ryJzZs3Y9q0abC1ta3xhRIIBNixYwfu3r373lbzlJSUMJVko0aNUqk7zsu2hJaWlox6WCmEkUqlCA8Pb7HrrIWbN29iyJAhICJMmDDhnd1bSkpKcP78eYjFYgwbNoypejMwMICXlxeWLFmCP//8s6UlpApISEio0dpCKBQiKioKf/31F5YsWQIPDw9GiNSqVSuMGTMGq1atQmhoKPLz89UdvtaTnp4OiUSC9u3bg81mY+jQofj222+xbNmyGtVt7u7uEIlECA0N1SinA20mPz8fUqkU1tbWMDQ0hFAoRGRkJLZv345JkyYxlVQdO3bEnDlz8Mcff2itEKApiYmJwbBhw8BisfDxxx/X2XWirKwM586dw5dffsksFgwMDDBq1Chs3LjxvVtEJycnw9XVFZaWlk0iQsrKymIqzZUCvPetDWRpaSn8/Pygq6uLAwcONNl5s7KyIJPJ4OPjw7SAnDRpEg4cONBs37NVVVWYPn06TExMNMb9KSoqCgKBAMbGxuDxePD19dXK9o8bN26EkZGRxn12lC3hO3fuDB6PB4FAoBHv1KioKBBRnYTKjcnu3bvBYrHw559/qjUOTaOqqgpt2rTBunXr1B1KrVRVVWHZsmVgsVj4+eefm+y8sbGxcHFxgaWlpca0mCwtLQUR4ciRI+oOhUFTWzi+jvHjx8PR0bHZJFGjo6MhFothb2/PzCvFYnGTuVGUlpbC398fHA4H27Zta5JzahJKVzWRSMS0vGnTpg0CAgIQHByskn3M4uJiLFmyBDo6Ohg5cmSLY3ktJCcnIzAwEOPGjWOKux0dHbFw4UKcPHnyndyjrl+/jsGDB4OI4Ovri+Tk5EaMvHmRkpLCtEVTtjFVFlru27cP27Ztg5OTE+PWoiktpZsTVVVVuHfvHqRSKXx9fZk9B1tbW8yaNQt79+7Fnj174OHhASJC7969ERQUpHVrMU0mNTUVBw8exNKlS+Hp6cns9VtYWGDUqFFYuXIlTp8+zawjy8vLIZfL0bdvX0YIKZfL39s8pKrIzc3FmTNn8MMPP2Ds2LGMIJ7D4TA53127diElJQVlZWWQy+Xo378/I5pv+V6ohvLycty4cQPbtm3D7Nmz0bNnT3A4HCb/5evrizVr1iAiIgKlpaU1zBPs7e1bhC0qJCcnh+kI5evri7Zt2zI6iJcNKXJzcyGVSmFra8u8s0NDQ9+LPevGRqFQIDY2Frt374ZQKET//v0ZYxZLS0uMHTsWq1evxoULF3Dp0iUIBAIYGRlBT08PfD5f7UW9LdSkRfT1juTn58Pf3x8sFgtCobDJRD+pqamQy+VYsmQJvLy8YGBgACKCkZERBg0ahC+//BJyufy9s9G+dOkSunTpAlNT00arKquqqkJCQgL27t0LoVCIAQMGMKr76vf/zz//xIMHD1R+fm0lNDQUvXr1ApvNRkBAANLS0up9rJSUFAQFBUEoFMLT05OpAjIzM4OPjw/EYjGCg4NbqhzqibICurZJU23VP0RUoyVnS0vahqFcyCnbjbRv3x4ikQg3b97E3r17MXPmzBpW8+PGjcPGjRtx69atlnveQIqKiiCVStGhQwdwuVwEBAQgLi4OFRUViIiIwHfffYcBAwaAw+GAxWKhZ8+eWLJkCY4fP97ivvkG/vrrL9ja2sLU1BQ///zzOzs1pqenM5VsFhYWjPsmn89HUFDQe9ELvrCwEBMmTICuri527NjRZOet3gZSWcWjTBLJ5XIUFRU1WSxNTfUE/tq1a5v8/NnZ2YwDGI/HA4fDYdrtNGQOpYmUlZVh2LBhaN++vUYlCZXtH5XvY2trawiFQty6dUvdodWJ3NxcGBoa4pdfflF3KLVSXl4OmUwGKysrmJubQyKRqFXgMG/ePDg6OmrEJuG8efNgZGTU0ramGnfu3AERaXxbgB9++AEsFgvr169v9HMFBQXBwMAAgwYN0qj3QkVFBYgIhw8fVmsc2tDCsTb27NkDNpuNixcvqjuUelNVVYXIyEgsWbKEaSPu5OSE7777DtHR0U0aS3Z2NgYNGgRjY+NGLdbVNLKysrB79274+fkxBUw9e/bEt99+i6ioKJW+68LCwuDg4AAzMzPs3LlTI96jmsDLLeqUhUxKJ/H6CE+fPHkCgUAANpuNvn37ql2org0kJiZi27Zt4PP5aN26NZOwnDJlCmQyGe7fv88UAbZr1w48Ho/ZB2pBdSjFdgEBAcx+ppGRUQ1n/dftRbfQMEpKShAREYH169fX6s7y2WefYdeuXYiLi3tl/C4oKHjlmURGRqrpSrQbZT4lKCiIaQ/IZrNBRGjbti18fX0hFosRGhpaw6EoKysLEokENjY2zDO4fPmyGq9E+3k5r1g9r+vp6QmhUIigoCBER0cz34nCwkLIZDK4urq2CB9VREZGBo4fP46VK1di7NixaNeuHYiIcRGcOnUqfvrpJ1y4cKFGzuXlYh6hUNiSg28gSUlJOHDgAJYuXQpvb29GjK2rq4u+ffvi888/x+7du5mCHeVeqaenJ7POk0gk70V+RhtpEX3Vk6CgIBgZGaF79+5qqVKvqKjA7du3sX37dsyePRs9evSAjo4OkxhVThyOHj3a7Nv0lJSU4MsvvwSHw4GXlxdiYmIa/ZzVJ27KCYNS/WpqagpPT0+IRCIEBwfX2emkOaJQKCCXy2FnZwcDAwOIRCKV2I8XFxfj0qVLWLduHSZPnsy44bHZbLi4uGDmzJktbSHrQfWNciJCr169IJPJXknIPX36FIcPH8ayZcvg5eXFTJbNzc0xYsQIfP311zh48CBSUlLUdCXaS2JiIkQiEVq3bg0dHR34+Pgwi4rY2Fhs2rQJEyZMQKtWrZiqrPHjx0MqleL27dstIrB6Ul5ejqCgIDg7OzOL6qtXrzL/XlRUVGMDV2l7Xt2F7X1tR/g6iouLIRaLoaurCycnp3pv3r1s/c/j8cBms2vc++bquqlQKLBixQqwWCwsWLCgya+zqqoK169fx3fffQc3NzcQEdMOZvPmzUhMTGzSeJqKtWvXgsViYdmyZWpLYuXk5DDCR2NjY+YzLxaLNdqp5F3Iy8tDjx494OrqqpEJ+cePH0MikaBz5841rMo1vb3InDlz4OzsrNEJ2MLCQkgkEpiYmKB9+/aQyWRNPl8vKSmBubm5WgSetVFeXg5vb2/Y2dm1FLH8fzZu3AgLCwutmNuuX78eLBYLmzdvbpTjv3jxAgKBgCk81LQKf4VCASLCwYMH1XJ+bWnhWBvPnj2DpaWlxrXmrStKRy9lq+ROnTpBKBSqTZiSkpICJycntG/fXmsE2/VFoVDg+vXrWLlyJfr16wc2mw1dXV2mXXtjJMOKi4shEonAZrMxevRoPHnyROXn0CYUCgVu3rzJtBji8XhgsVhwc3PD119/jbCwsHqP14WFhRCLxdDT04OtrS2CgoK0YkxTB5mZmZDL5RAIBOjUqdMrYrvqBaoPHz6ESCSCqakpkzhu7jmTpuJtIq/w8HDm+5CUlAShUAhDQ8OWBH4DKSwsRFRU1GvzU9UL5d/kTPT06VOIxWKYmZnB2NgYQqGwpcPKO1BRUYG7d+/WcMmpblgwYsQIrFix4o15wurCFlNTUwiFwvfO3EMVpKWlITg4mHGOUhYSc7ncGh2coqKiahVw3b9/HyKRCBYWFtDV1UVAQADu3r2rhivRbnJzcxEeHg6pVPqKiUR10WNwcHCtLvC1FfNIpdJmXYjcGFRVVSEpKQlyuRxff/01fHx8mOIQLpeLXr164dNPP8W2bdtw48aNV+atsbGxEIlEMDc3h66uLuPq1TIn1WxaRF8NIDExEf3794eenh7Wr1+v9g3JoqIiRggzdepUdOnSBSwWixGCjRo1CsuXL8fhw4eb5cTtzp07TJ9fkUj0TlbZqkB5/9evXw8/Pz8mSaTc/OLz+fjpp59w7ty5904FW1ZWBplMBktLS7Rq1QoSiUTlAon09PQ6TepCQ0Pfu/tfH65du4Zp06aBx+OhTZs2WLFixWs39crLy3H9+nVs2rQJAQEBcHV1ZUSo5ubmGDZsGJYtW4YDBw4gMTGxZWJQB168eIHdu3czCnoHBwesXr26xjOoblOvFIEZGxvXurnVQt1QLiqqW5gHBwe/8v+ysrKYjUVl25LqG4vh4eEtgtP/T1JSEkaPHs20omhociA3NxeHDh3CZ599xmzqmpqaYsKECQgMDER8fLyKItccDh48CGNjY3h4eKh1U/rJkyfYtm0bJkyYwLRetre3x7x583DkyBEUFBSoLTZVs3fvXvB4PPD5fLW3WqruvmZtbc3cd2VSVZvfqampqbCxscHgwYM1VjirUCgQHh7O2Jfr6urC19cXQUFBNSpyNYXbt2+DiHD+/Hl1h/JWnj17BpFIxIiD5XJ5k32ed+/eDQ6Hg/T09CY5X13IyMiAjY0Nhg8f3lJBDGDcuHGYOHGiusOoM0rh15YtW1R63ISEBPTo0QOmpqb466+/VHpsVaKOFqXK5JgyaazpLRxrY8qUKbC1tdWqOZRS6KVsG9ixY0e1Cr2UREZGok2bNujZs2ezFSMVFRUhODgYAoGAEVVYWVkxjryqKLB8HadOnYKtrS3Mzc0hk8ka7TyaTkJCArZu3YrJkyczezCWlpaYNm0adu/e3eCi3+quqBYWFo2yd6rt1FaQx+Fw3liQd+fOHUybNg0cDge2trbYsGFDi3N7A6ku8lI6Sb1O5AX8m3g+ffo0Ro4cySTwN2/e3PIc3oH8/HyEhYVh/fr18Pf3Z4pWlQXBw4cPh0gkglwur3MR9q1btxAQEAAulwtra2uIxeKWtnVvoaCgAOHh4di8eTM+/fRTuLu7MwIvpUvOggULsHv3bsTHx79xfatQKGq0DmwRttSdiooK3Lt3D/v27YNIJMIHH3zAvJc5HA569OiBWbNmYevWrYiKinqrCDs8PBx8Ph8cDgdt27aFWCzW+II/TSEvL+8VgZdSk1AXgVd1lE6c2ljMo27Kyspw8+ZN/Pbbb1i4cCEGDhzI7N1zOBx069YNM2fOxC+//IJ//vnntdqJ6h0QlK3JtaEAtoX/o0X01UAqKyshkUjA4/Hg4eHBWN5pCnl5ebhw4QLWrVuHadOmMX3qlT2KR4wYga+++gp79+7FnTt3tN4tQ6FQQCaTwcTEBJ07d8aZM2fUGk9+fj7z0uPz+UyyTvnS8/HxYSxEo6KitP7+v42cnByIRCLo6+vD1tYWMpms0UQpCoWCcWP74osvMHjwYEbJzGaz4ejoiClTpuC///0vTp48qVFJH03i6dOnWLFiBaysrMDhcDBx4kScPXv2rZOtsrKyV9zwlIsgY2PjV+xzW5Jbr+fevXtYuHAhWrVqBTabjREjRmD//v2vCBGqi8CUoscWEVj9CQ8Ph6+vL4gIvXv3fmMyOiUlBb/++iv8/PzQpk0b5h07adIkbNmypVkKkd6V4OBgdOrUCYaGhhCLxSp73yUkJGDz5s0YO3YsY0dsY2ODGTNmYPfu3RrV/qghJCQkoFu3bmjdurVGtDyo7sDm6ekJNptdw/0uPDxc68ebiIgIWFpaol+/fhrj2qoUIIlEIjg6OjKJpoCAAAQHB2vlPPLmzZswNjaGv7+/xn9m8vPz8dtvv2HIkCFgs9mwsLDAZ599pnHiOw8PD0yaNEndYdSZhw8fIiAgACwWC/369UNYWFijn9Pb21sjBUU3btyAvr4+vvnmG3WHolYqKythZmbWaM5ZjcX3338PFouF7du3q+R4hw8fhpmZGdzd3TXeQVlHRwf79+9v9PNoawvH2vj7779BRDhx4oS6Q3kjCoUCly9fxtKlS5liF3t7e3z99de4efOmusMD8G9reX19fYwcOVKrBHR1ISUlBVKplHE8Vs63xWKxyts21kZubi7jNMjn89+arGtuZGRk1NlFqqGEhobC1dUVXC4XAoHgvbvXryM/Px/Hjx/HsmXL0LdvX3A4HLDZbLi5ueHLL7/EyZMnXyuQiIiIYMQU3bt3x+7duzXOLVNbeFeRl5KysjIEBQWhe/fuLS3S3oHnz5/j7NmzWLt27SvGDm3atMHIkSPxzTff4NChQ+/sklZVVcUIjZStgIOCglq+G7WQk5PziphFmVdVdvoRCoWQyWQIDw+vs0hX2TrQ2dm5RsGxJu0paBLPnj3D2bNnsX79esyYMQNubm6Mox2Xy0WPHj0wffp0bNy4EZcvX65zcV5paSmCgoLQo0cPEBHc3d1bvgtvoLy8HNHR0ZDL5Yzphr29/WsFXpmZmXU+dmJiIlPMY2xsrJXFPE1JTk4OLl68iE2bNuGTTz6p8Z3Q19dHv3798Nlnn2Hbtm24evVqnYqZY2JisHDhQpiZmUFXVxcfffQRwsLCWsYlLaRF9KUi7t27h169esHExETjq54KCgpw6dIlZsLSo0cPcLlc5kXZvXt3TJs2DRKJBCEhIXj8+LG6Q35nnj59ismTJ4OING5j4uUJY/WKgOquVBKJpE4KaG3kyZMnEAgE0NHRQZ8+fXDu3LkmO3d1m1c+n19DfW5ubv6KGEnTE5BNRVlZWQ2Vt3KD/V1c0168eIGrV69i69at+PTTT9G7d29mQqLso75gwQJs374dkZGRLRVfL1FWVobg4GDw+XxwuVyYmpoiICCgVltVpejxZRGYpaUlfH19mQ3Klonb27lx4wb4fD5YLBa6deuGoKCgt7p4VRfgKcWmytbL7/O9LykpYdpUdO3aVeXC7JdbQerp6TGJKYFAALlcrtVOj4WFhZgyZQp0dHQgkUg06jP07NkzJiGi3ARu3bo1+Hw+ZDKZ1rbNSE5ORteuXWFnZ9ck7cPflVu3bkEsFqNXr17MPGb69OmN7vagakJDQ6Grq4uFCxeqO5Q6k5qaCqlUCnd3dxAROnToAKFQqBHtpPbt2wcOh6N1TifXrl3D0KFDQUTw8fHB7du3G+U8SUlJYLFYOH78eKMcv6Hs3r1bLa5JmsTVq1dBRBo57r6N5cuXQ0dHB3v37q33MSoqKiASiUBEEAgEWiHo5XK5Dbrmt6HNLRxrIzs7G9bW1pgxY4a6Q6mV8vJynD59Gp999hlTuOjo6AiRSISoqCh1h1cDqVQKNpsNgUDQLJyWi4uLGYdXW1vbGnPqoKCgJnVgOXbsGNq3bw9ra2uNdhpUJYWFhe/sItVQrl+/Dm9vb8YZOzk5WaXH1zby8vJw7NgxLF26FH369IGOjg5YLBZcXV3x+eef4+DBg291m3iXAr4WXkWhUOD27dvYvHkz+Hw+U9hoYmKCMWPG4KeffsK1a9feKNx6/vw5Vq9eDWtra/B4PHz88ceNNrfXZioqKt4ooqgtT1Hfz7JSgOfq6toiNHqJiooKxMbG4sCBAxCJRBgxYgTzuVd28Pnwww/x/fff48iRI/XuoJSWlgaxWFyjdWB0dLSKr0Z7qaioQEpKSo1OPsqCg5e/D0qhXX2c+dPT0yEWi9G6dWvG4f/KlSuNcEXay/379xEcHIwff/wRU6dOZUTpRAQej4cePXrA398fEokEJ0+erFf++mWnu86dO2ttMU9jUd1UQyQSvfKOqC4+rY+pTFlZGf744w9mHurg4IC1a9c2Sz3C+0SL6EuFlJaWQiQSQUdHByNHjtQqd4mXX6ovi2FMTU3h7u5eo0Xe8+fP1R32WwkODkaHDh0YC3JNncgqldLVB3ArK6vXuoI1F2ekmJgY8Pl8JrmjrkpRZQXNTz/9BH9/f7i6uoLD4dRwpZo/fz62bt2KS5cuabVoQBXExcVBKBTCyMgIenp6CAgIqPfivaysDFFRUdi+fTvmzp2L/v37w8jICETETPgmTJiA7777DgcPHkRCQkKz+Ow3lOzsbMhkMri5uYGI0LVrV4jF4tdWeCnFMOvWrYOvry9j79qmTRtMnjwZUqkUN27caLm3b+DevXsICAgAh8NBp06dIJVK67S4rKioQGRkJCQSCUaNGsW4USnv/ebNm3Hv3j2NfT81BsnJyTVaPjaWuLykpAShoaEQi8Xw8fEBl8sFm81mNu2Dg4O10g1AJpOBy+Vi3LhxGivsqe5KoBS2u7i4MMkSbUhgK8nOzoa3tzeMjY0REhKi7nBey/3797FhwwZ4e3tDR0cHXC4XQ4cOxYYNG5CYmKju8N7KkSNHwOFw8P3336s7lHdG2erKzs6O+axLJBK1uciWlpbCysoKy5cvV8v5G0poaCh69+4NNpsNPp+P+/fvq/T4q1atgpWVlUbPeebNmwcjIyPcu3dP3aGoBYlEgjZt2mjt3Ojrr7+Gjo4ODhw48M6/+/jxY/Tv3x/Gxsb1+n11oauriz179qj8uM2hhWNtTJs2DW3bttWoFkolJSUIDg5GQEAAU7Ti4uLCOEppGpWVlZg/fz5TDKHNxMTEYP369cy8mc1mo1+/fli5ciWuX7/e5IWImZmZCAgIYIpotWHvt768br3o4uLCFA3l5+c3yrkfP34MgUDAPG91t0hVFwUFBYzQztPTk0kqKwu3goKC6lTIoHSC7Nu3bw1BSwtv58WLF7h06RJWr16N0aNHw9TUlMkFjRkzBmvXrn2ryEtJSkpKjfe2UCjUSjOBxiA1NRUnT57EmjVr4O/vX8OEgcfjoWfPnpg+fTrWrFmDU6dO4enTpyo5r1I43759e/B4PAQEBLy3awzgX+FVaGgopFIpBAIBPD09YWBgwLRAc3FxAZ/Pr5db0euIiopi9pOVbTSb87u1LmRlZdVw76puDFDdvWvt2rU4ffq0SvZWlM+By+WiTZs2EIlEWlcop2ry8vIQFRXFdOrx8fFB69at39ip6nVtAetKQUHBK05377sDZGlpKW7duoV9+/bh66+/xtixY2FnZ8doM/T19eHu7o4ZM2Zg7dq1OHHiBB49elTv86WlpUEikcDGxoYpqHrfn0FzokX01QhcuXIFDg4OsLS0xKFDh9QdToOobeBX9kfWFjFSUVERI8bz9vZGXFycukOqM48fP8bx48fx448/YsqUKXBycoKOjg6ICIaGhujfvz8+++wzbNq0CaGhoVolNKxOREQEPDw8Gi25Ux9KSkpw7do1yGQyzJs3Dx4eHszCt/pn/4svvsCvv/6KyMjIRtsM0lTy8/Mhk8mYKiF3d3fIZLIGT/6A/3Nkk0gkjIWy8rPP4/FeccRT1WJYG4mOjoZIJIKlpSUzUQsKCnqjnXFlZSWuXbuGtWvXwtfXt0Y7yBEjRmDVqlU4f/58nS2R3ycePHgAoVAIfX19tGnTBmKx+J2qUCorK2t1YXsfW3EGBwfDzs5O5S0fX0d2djYOHTqE+fPnw8nJCUQEPT09eHt7QywW48KFCyoZv5qCS5cuoW3btnB0dNT4DTulY4GyYl45h1F+3rUheVtaWsps0gUGBqo7nLeSnZ3NOK8piwiUiRNNbgO5a9cusFgsbNy4Ud2h1Atl+02hUMi0ZPb09IRMJmtygamyglhbXVOrqqogl8vRuXNn8Hg8lbY5cnV1xYIFC1RyrMaivLwc3t7esLOzey8TAh988AE++ugjdYfRIBYuXAgul4tjx47V+XeOHTsGCwsLODs7a13VP5vNVplIrTm1cKyN4OBgEBH+/vtvdYeCnJwcyOVyBAQEwMjIiHlvSSQSjRaMFxYWYsyYMTA0NMSRI0fUHc47k5mZiX379mHmzJlo3749iAgWFhbw8/PD7t271VpdL5fLYWlpiY4dO+L06dNqi6OxqIszdGO/dwsLCxn3644dOyIoKEhrRc71obrIy93dnWmVVv0ZvM3Jqzrl5eUICgqCs7Mz2Gw2fH198c8//zTiFWg/ymegFDsqvwfW1taMO/3r2jW+DqWYQkdHB3Z2dpBIJBpboNbYFBQU4OrVq9ixYweEQiGGDBlSI5dmY2ODUaNGQSQSYd++fbh7926jtJNTCvAMDAwYAZ62OrDXh4cPH+LEiRNYu3YtZsyYAXd3d0bcxWKx0KlTJ4wZMwYikQi7d+/GjRs3VOrkqOyYMmDAgPe6daCy45FMJmNyy23btlW5e9frUD4HT09Pxv1RJpOp9BzagFJUtHv3bnz11VcYOXIk06VB+Ry8vb3x+eefY9u2bYiIiFB5njM5ORkikQjm5uYwMjKCQCDQujVvQ6luvKPMeVbvAsbhcGBvb8+0yZTL5SrTWyid1fh8PiNAFYlE9XYubEFzaRF9NRLFxcUQCoVgsVjg8/nNyhmoqqoK9+/fx5EjR/DDDz+8IkZSKk8/+eQTrFu3DiEhIUhOTla7GOzGjRvo06cP9PT0miS53FgoxUi//vorFixYAG9v7xqLBzMzM/Tv3x+zZ8/GTz/9hBMnTuDBgwcav4mgTO44ODioPLmjSqq351RWhCidqV4WQionq9qacHsXwsPDmUmDlZVVo0waSju3k60AACAASURBVEpKcP36dezcuROLFy/GsGHDYGlpydx7a2trDB8+HEuXLsWOHTtw5cqVZpMcqAulpaV1bv9YGykpKQgKCoJAIICLiwsz2XR3d4dQKIRcLtfI76S6yMzMhFgshpmZGbOBUh/x4csiMOV4Xl0E9q4bbtpEY7d8fBOpqakICgrCzJkzGYcebRKBpaWlwcPDA0ZGRvjjjz/UHU6dSUpKQmBgIMaOHcu8Px0cHCAQCHDgwAFkZGSoO8RaqaqqgkQiAYvFglAo1BphpjK5JRaLa4jufH19IZPJNE40/eOPP4LFYmHXrl3qDqVBvHjxgnkn83g86Ovrg8/nIzg4uEnG8+fPn8PQ0BCbN29u9HM1JuXl5ZDJZLCysoK5uTkkEkmDNmjv3LkDIsLly5dVGGXjkJGRARsbGwwfPlzt6+impKysDIaGhti+fbu6Q2kQVVVVmD17NgwNDXH16tU3/t+KigqIxWKw2WwEBARoXdGFQqEAETW4/VtWVhb++9//omPHjkzi/vTp0xq/j/EuPH/+HNbW1pg5c6baYsjKykJQUBB8fX3B4/HA4XDg6ekJqVSqcXOC2khLS0Pv3r1hbW2Na9euqTucOlFRUYHw8PAaIhcdHZ0aLQPVvdZLT0/HhAkTwGKxIBAItNIN+XWkpKQwa22li521tTXThr6pkl3KOU2bNm1gYWEBiUSi8laRmsjTp08hl8shFApVIvJSUlpaCplMBltbW3C5XAQEBGhFMZE6SEtLe+0zCAgIgEwmq1fiXSnS9vDwqCFqaQ6tdutCbm4uY5RQve2W8v7WVrDcFHsdLwvwpFIpioqKGv286qI2UVF1pyKlqEggEEAqlSI8PLxR33FZWVmQSCTo0KEDM5/VhrVnQ1AoFEhJScHx48exdu1afPLJJ+jXrx/TZUTZqtrb2xtz585lzCsa8/uQmZn5ynMIDQ1ttPNpCjk5OTXGJWU3L2XensvlvuJml5KS0qjrLWXOUEdHB/b29pBIJM1KK/E63uQqqMwh+/r6QiQSqcxFrTZyc3MhlUqZVqnvqwD1fYIFANRCo3H69GmaPXs2VVVV0Y4dO2j06NHqDqnRKC0tpdjYWLp79y5FR0fT3bt3KTY2ltLS0oiISFdXl7p27Updu3YlJycncnZ2Zv5uYGDQJDFWVlZSYGAgrVixgjp16kTbt2+nAQMGNMm5G5vc3Fy6f/8+xcTEUGxsLPPngwcPCADxeDxycHAgV1dXcnFxIVdXV7K3t6du3bqRrq6uusNnqKiooN9//52+++47Ki8vJ5FIREKhkPT19dUd2msBQA8ePKCYmBiKiYmh6Ohoio2Npbi4OCotLSU2m02dOnUiV1dXcnV1pW7dupGLiws5OjqSoaGhusNXKY8fPyaZTEY7duygnJwcGj9+PM2dO5eGDRtGLBarUc6ZkZFB9+7do7t379K9e/coOjqa4uPjqbi4mIiI2rZtSy4uLuTk5ESurq7k5ORELi4uZGVl1SjxaAJPnz6lvXv30q5duyguLo6cnZ1p2rRp5OfnRw4ODnU6Rnp6Ol2+fJkuX75MERERdOvWLaqqqiJ7e3vy9PQkLy8v8vT0JBcXl0Z7ttpAYWEh/fbbb7RmzRrKycmhGTNm0IoVK6hDhw71Ol5VVRXdu3ePwsLC6OLFixQeHk7Pnz8nU1NT8vDwYO593759NXpcfFdSUlJo0aJFFBISQr6+vrRly5Z638P6ovzMnz17li5fvkyxsbHE4XCoZ8+e5OPjQz4+PuTp6alR972yspJWrFhBa9asIYFAQL/88gtxuVx1h1VnysvLKSIigs6dO0fnz5+n69evk0KhIFdXVxo6dCgNHTqUvL29yczMTN2hMsjlcpoxYwaNHj2a9uzZ02RzWFXx8OFDOnPmDB07doxCQ0OpoqKC3NzcyNfXl8aOHUu9e/dW+5i+bNky+vnnn+nIkSPNYu2Um5tLx44doz179tC5c+fIwsKCJk2aRAEBAeTl5dVo5503bx6dPn2akpKSSEdHp9HO0xQUFRVRYGAg/fjjj2RsbEzfffcdzZo1izgczjsdZ/ny5bRnzx569OiR2j/ndeHmzZvk5eVFixcvptWrV6s7nCYhPDycBg0aRMnJydS5c2d1h9MgFAoFTZo0iSIiIigiIoIcHR1f+T9ZWVk0bdo0ioiIoJ9//pkEAoEaIm0YZWVlpKenR0eOHKHx48e/8+9fu3aNAgMD6c8//yR9fX2aNWsWzZ8/X+uff234+/tTWFgYRUdHk7m5eZOd9+HDh3T06FE6ePAgRUZGkq6uLg0bNoz4fD6NHz+eTE1NmyyWhnDv3j0aM2YMGRsbU0hICHXq1EndIb2W+/fv09mzZ+ns2bN06tQpKiwsJHt7e2ZNMWLECI257wcPHqS5c+eSmZkZ/frrrzR06FB1h1RvFAoF3b17ly5dukTh4eF06dIlevbsGbVq1YoGDx5Mw4YNo6FDh1LXrl2bNK6zZ8/SF198QUlJSTR37lxauXKlRq1vVAUAio2NpfDwcIqIiKBLly7R48ePicvlkru7O3l5edHAgQNp4MCB9R4DX95/mTJlCn333Xd13ud6H7h//z6zj3f27Fm6f/8+s6+h3E8aMmQItW7dul7HLyoqov3799OGDRsoKSmJRo8eTYsWLSIfHx8VX4lmkJWVRTExMRQfH08xMTEUFxdHsbGxlJGRQURERkZG5OzsTC4uLsyfLi4uZGdnR2w2u0lirKqqopCQEJJIJHTlyhVyd3cnoVBI06ZNe+f1kiZSXl5OKSkpFB8fTwkJCZSYmEhxcXGUkJBAubm5RERkZWVF3bp1Y3Ivyp+mGmsTExMpMDCQduzYQVwul2bMmEFLly4lW1vbJjl/U1BZWUmPHz9mco7KPOTt27eZHIy5uTmTd1T+6erqSm3btm2SGG/fvk1bt26lPXv2EI/HoxkzZtCSJUuoY8eOTXL+pkChUNCDBw8oPj6e+U7Ex8dTXFwcZWdnE9G/45IyD6/Mwbu6upKjo2OTjAnK98SmTZsoJiaGPD09adGiRTRhwoRmMSYpyc/Pp+TkZLp//36NvHxCQgIVFRUR0b95yerfBxcXF3Jzc2v0nPCNGzdo+/bttGfPHuJyueTn50cLFiyg7t27N+p5W1A/LaKvJiAvL48WLFhA+/fvpzlz5tCGDRuandDjTZSVlVFycnINIdL9+/cpNjaWXrx4QUS1Twjs7e3Jzs6uUTbkHzx4QPPmzaMzZ87Q9OnTSSqVkoWFhcrPowkoXz4vT8ji4+OpqqqKuFwudejQ4ZX77+LiotbEtjK5s3r1ajI1NaVvv/2WZs+erXVJq6dPn9KNGzdqfP5f99m3t7dn/t6pU6cmWxw2BuXl5fTXX3/Rli1bKCIigjp37kyffvopzZw5k6ytrZskhqdPn9b4zMfGxtK9e/coMzOTiIjMzMyoc+fOr9x/Z2dnrb73L3P16lXas2cPHTx4kLKysqhv377k5+dHU6ZMofbt29f5OIWFhXT16lVm8ygiIoJevHhB1tbW1KdPH0YE1q9fP60SnaiKsrIyCgoKotWrV1N6ejr5+fnR//7v/5Kzs3ODjguAYmJiKCwsjCIiIujy5cuUmprKbJxWF+BZWlqq6GrUx7Fjx2jRokWUlZVFX375JX3zzTfE4/HUEsujR4/o4sWLdOHCBbp48SI9ePCA9PT0qF+/fjR48GAaNGgQ9e/fXyNEPwcOHKA5c+aQm5sbyeXyJttQUTXFxcUUGRnJJMlu3bpFREROTk7k5eWlMUmyK1eu0Icffkh2dnZ09OjRJnuvqZqioiI6c+YMhYSEUEhICGVmZpKtrS2NGjWKRo4cScOGDSNjY+MmjwsAzZkzh/bv309nzpxpVGFUU5OcnEz79u2jffv2UVJSEjk5OZGfnx/5+fmpPAF5//59cnR0pD/++IMmT56s0mOri+fPn9O6detIKpWSnZ0drVq1iiZPnlzn9WKXLl1owoQJtHbt2kaOVHXs2bOHZsyYQX/88QdNmTJF3eE0OitXrqTffvuNHj16pO5QVEJJSQkNGzaMsrKy6MqVKzWKTsLCwmjatGlkbGxMBw8epB49eqgx0vpTXFxMRkZGFBISUmehbllZGQUHB9PPP/9MERER5OTkRHPnzqVPP/202e6VHTt2jMaNG1dvcdy7EhMTQwcPHqTjx4/TjRs3yMLCgsaMGUNjx46l0aNHa919Dg0NpcmTJ1OfPn3o0KFDGieYycrKoosXL9LZs2fpxIkTlJqaSq1ataKhQ4eSj48PffDBBxqXcHz48CEJBAI6d+4cffrpp1q5V11WVkbXr1+n8PBwRmhUUFBA5ubm5OXlRYMGDaKhQ4dSr1691LLHc/XqVVq2bBldvnyZpk6dSv/97381Wqz4rlRWVtKdO3eYPaILFy7Q8+fPydDQkHr16sXsUwwaNKjB67fMzEySSqW0ZcsWYrFY9Pnnn9OiRYuoTZs2Kroa7SQ/P5/++eefGj95eXlkYmLCFA0OHDhQJUWDmZmZtHXrVtq8eTOVlJQQn8+nb775hpycnFR0NeqjqqqKHj16RImJiYx4Qrl/rxRRmJmZkbOzM1NM3K1bN3JyclLr2J6fn087d+6kX375hR49ekQffvghLV26lDw8PNQWU0N49uwZI+ZSPouEhAR68OABVVZWEovFoo4dO5KjoyM5OTkxphLdu3enVq1aNXm8CoWCgoOD6ZdffqHz58+Tk5MTLVq0iD7++GON2CesL8+ePaOkpCRKTExk/oyNjaWkpCSqqKhgzA2UIsfqRfbq2KurqKigv//+mwIDA+nSpUvUrVs3EgqFNH36dI0q2n1XqufUq+e24uLiqKSkhIg0L6+YnJxMW7dupZ07d1JFRQVNnz6dFi5cSN26dWvyWFRFRUUFI7JLTExkfuLj45kcI4/Ho86dO1PXrl3J0dGRHB0dGQFwU34nCgsL6cCBA7R161a6ffs29e7dmz777DPy9/fXujl+C/WnRfTVhFSvngoKCmpWCYz6oFSHV39p3b9/n+7evUtZWVlERGRqakoODg41Xlr29vbk6upKenp6DY7h4MGDtGDBAmKz2bRmzRr6+OOPG3xMbaGoqIji4+OZyUJcXBzFxMTQgwcPSKFQEIfDIXt7e+rSpQs5OjpSly5dmJ8OHTo02cTh2bNn9J///Ie2bNlCjo6O9P333xOfz2+SczcWFRUVlJycXGOyEBcXR4mJicxi0sDAgBwdHZnJgrOzMzNpUEcCtiHEx8fTrl27aOfOnZSbm0tDhgwhgUBAEydOVIuILz09nfnMKz//sbGxzETN0NCQcQNzcnJivgOOjo5avVhQKBQUGRlJBw8epP3791NOTg4NGDCA+Hw+ffTRR++8WabcYFW6gV25coVyc3PJxMSE+vfvX+OnKSvZ1U1FRQUdOHCAJBIJJSQk0OjRo2nFihXUr18/lZ3j6dOnjACsObqwvXjxgtasWUNr1qwhW1tb2rx5M40YMULdYdUqAnu5atnT01Mtm01E/461EydOpOzsbDpw4IBWV+krUYpNlSKwmzdvko6OTg33NS8vL5XMCd+VlJQU8vX1pcLCQjp+/Dj16tWryWNQJVVVVRQVFUUhISF06tQpioqKIh0dHfL09KSRI0fSyJEjqUePHk02pigUCpo6dSqdPXuWwsLCtP7+1sY///xDBw4cILlcThkZGeTm5kYfffQRTZ06VWUVwRMnTqTU1FS6du2aSo6nKTx69Ii+/fZb2rt3L/Xt25fWrFlD3t7eb/ydW7duUe/even69evUp0+fJopUNcyfP5/27NlDkZGRWr1hWhcGDx5M9vb29Ntvv6k7FJXx/Plz8vDwIDMzM7pw4QIZGBjQ2rVrafny5TR27Fj6/fffNU7A8i7k5eWRubk5nT59+q3ztbS0NPr1118pMDCQCgoKaPz48SQQCJqtO4iSvLw86tatGw0fPpx+//33RjlHVVUV3bp1i44dO0YHDhygxMRE6tChA40aNYp8fX1p5MiRWluYs3PnTpo3bx5NmzaNtm/frraCkOoUFxdTeHg4nT17ls6cOUPR0dHE4/HIw8ODRowYQcOHDyc3NzeNLCarqqqiX375hb755huys7OjnTt3Ut++fdUdVp0oLi6mW7duMQ5GtRWi+fj4qP3eJyYm0vLly+nQoUPk5eVF69at05p7/CYKCgooMjKScfG6du0ac/+V4iIvLy/q1auXyvb6srKyaMOGDbR582YyNDSk+fPn06JFi96rPSYlVVVVFB8fT//88w9duXKF/vnnH4qLi2P2ggYMGED9+/cnLy8v6t69u8qewb1792jdunX0xx9/UKtWrWjBggU0d+5crSyez8nJocTEREpISGCERcqfsrIyIiJq3bo1ubq6vuLe1a5dOzVH/38kJibSpk2bKCgoiFgsFs2cOZOEQqFWON5VVFTQkydPXskHRkdHM+5purq61Llz51eELF27diUjIyM1XwFRdnY27dixg7Zu3UpPnjyhkSNH0sKFC+mDDz7Qmj3YvLw8SkpKouTkZOY7kJSURElJSZSXl0dE/z4HBwcHplOTUtjl7OysEfmR9PR02r59O23fvp0yMzPJ19eXFi5cSMOGDVN3aHVGoVDQ48ePmeegdIlKSEig1NRUIvpXUNSlSxdycnJinoXy7yYmJmq+gv9zGgwMDKTQ0FDq0KEDzZs3j+bMmaNV74mXu2hVd+8qLS0lon9Fdi/rFFxcXKhr165qdTBLSEig33//nbZv304lJSU0bty492KN3ULttIi+mpiMjAz69NNP6fTp07R06VJatWqVRmxYaBpKUUZCQgLFxcUxyv7Hjx8T0f+pZ5VCGAcHB+rcuTM5ODhQ+/bt32mClZeXR2KxmH755RcaNWoUBQYGalwFXlNSVlbG2IMqRUm1Tfqqi8Cq/zTWIiguLo7+93//l44ePUpDhgyhH3/8kfr3798o51InygnGy5OMN7mDKScYTk5OGu2Epqzo3r59O507d47atWtH06dPp3nz5mnEdy4nJ4cRgCltuxMTE+nx48ekUCiIxWJRhw4dGBFkdVFex44dtcqetqys7P+xd+VxMa7v+6Kyy0GLVq0SKa0kstXhOMqafclSyBLHkg6SXZbjFFkqhSyRvRwOyUH7XpSkZaaaaor2tEzN/P7we9/vTAtiamZqrs/n+czIvDPP+7zb89z3dV8Xnj59Cn9/f9y7dw/V1dUYPXo0li1bhgULFvzQooHJZCI5ORkhISEIDw9HREQEPnz4gC5dukBDQwOjR4+GsbExjI2NMWzYML4+V7kBYtFz6NAhREZGwsTEBA4ODrCwsOD6b1VWViIiIqKJCpuUlBSMjIxIEpihoSFf2fl+C5mZmbC3t0dgYCCmT58Od3d3vpJG/x4LVDMzM6ioqLRbn8rLy7Fy5Uo8ePAABw8ehIODQ7v9dnuATqfj1atXJAksMzMTPXv2hJ6eHjnepqam7Ta3Li4uxuzZsxEbGws/Pz/8/vvv7fK77YFPnz4hODgYQUFBePToEWg0GqSkpDB+/HhMnz4d06dPb/MATl1dHaZPn04+W5SVldv093gFJpOJsLAw+Pv7w8/PD4WFhdDX18fSpUsxb968n1Lui4qKwqhRo/Dq1SuMGzeOi73mD0RHR2Pnzp0IDg6GmZkZTpw4AR0dnWY/6+TkBG9vb+Tk5AhMMJ4Ag8GAubk5srOzER0dzTNycVujpqYG/fv3h4eHB5YuXcrr7nAVGRkZGDNmDHR0dNC1a1c8f/68wzynP378CElJSTx//rxZwjmLxcLz58/h4eGBe/fuQUJCAsuXL8eGDRsgLy/Pgx63P5YsWYIXL15w3daxqqoKz549Q2BgIAIDA0Gn0zF06FDMmjULs2bNgoGBgcDd79jBYrGwb98+7N+/H05OTti7dy/P9odQNCLmoK9fv0ZtbS2HZeOUKVP4Ivn2NSQnJ8PGxgYxMTFwdHTErl27+DomXV5ejqioKAQFBSEkJATR0dGoq6uDjIwMOffnp2Knn1Uk5TcQNoGxsbEc6932GP+cnBwcO3YMXl5eGDBgAHbs2AFbW1u+IBq0FyoqKpCYmEgW/IWHh+PTp0/o1asXdHV1yeIzU1NTDiVRbuG///7D8ePH8fjxYwwfPhxbt27FwoUL+T6m1BKpiGgASNeT5kQG+Fk1PSQkBG5ubrh79y4GDx4MW1tb2Nra8h0JksFggEKhID09Henp6SS56MOHD6BQKE1UuwgiC2FHx6/zw/j4eJw/fx5Xr16FqKgoFixYgM2bN/+0w0Nboba2FjQardnrICsrCywWC6KiolBUVCTzS+zXxODBg/kydh8bGwtXV1f4+fmhd+/eWLZsGbZs2cK3Sprs96TGrbFqV+NjoKKiAi0tLb6875aWluLy5ctwdXUFhULB5MmTYWtry9cWjnV1dcjNzW3iiPX27VuUlZUBaEo6JY6HtrY2X83z6+rqcOfOHZw7dw6vX7+Guro61q5dC2tra4Ei2wnBfQhJXzwAi8WCp6cn/vjjD6iqquLKlSstBqeF4ERlZSXJdiaYz8TEkfCO7tGjB0kAYyeDqampQVFRscXJSkhICNasWQMKhQInJyds27aNLyc2vAQ7IYl98fThwweUl5cD+PJglJOTa0JKItrPIiQkBI6OjggJCYGlpSUOHjzYKbyI2ZXxmlu4Al/IkPLy8k3GnB8Y542RlpYGb29veHt749OnT5g0aRLfTgy/FjAgFknsAYPGk/O2sqnlFqqrqxEUFARfX188ePAAXbt2hZmZGaysrDBnzpyfkn8tKysj1cCIQGFJSQn69OkDHR0dMkg1YcKEDmFN2BJCQkLg4uKCwMBA6Onpwd7eHkuWLGmz6mMGg4GYmBiEhYXh9evXCAsLQ1FREXr16gVDQ0OyAnT06NFtEhzkNgICArB582YUFRXByckJ9vb2fKlU0NgClUgGEUFxggjW1pXnLBaLVBCxsrKCl5dXh5VxzsrKQnBwMIKDg/HixQvk5+dDXFyctHIZP348dHR02nQ+V1dXh9WrV+P69etwdXXF+vXr2+y3eInk5GQEBgYiKCgIr169QkNDA0aOHEkmOidMmNAmz+/y8nJMmjQJpaWlCAkJEVgrze9FQ0MDXrx4gStXruDBgweorKwkVTkXLVr0Q89KExMTSEhI4MGDB23QY/5AUFAQHBwckJCQgDlz5sDFxaUJSVBHRwempqY4ffo0j3r5c6DT6TAwMICmpiYeP37cIdepQUFBMDc3R05ODt8me34Gly5dwsqVK9G7d288e/aswxQw5efnQ1ZWtgm5tLy8HH5+fnB1dUVKSgr09fWxadMmLFy4kC/ncW0Fbts6UigUPHr0CAEBAXj58iXq6upgZGQECwsLzJo1i28Tj63F58+fsWzZMgQEBMDLy6vdiaCNSV4hISGoqanhILtMnTqVrwpSvgYGg4G//voLe/fuxbBhw+Dl5QU9PT1ed6sJvlZUQxCMxo8fzxdFg+yoqqrCmTNncPjwYfTt2xdOTk5YuXIl38W2voaKigpERUUhPDycLOIrLi5Gz549YWBgAGNjY4wZM6bNYwjZ2dk4efIkPDw8ICkpia1bt3Yaste3SHYmJibQ19dv02I+onjxyJEjCA8PJ4sXp0+fzldxzfr6elCpVJJUlJ6eTip3USiUJoW7BLGIvXCXH5UYm0NNTQ1u3bqF48eP4+3btzAxMYG9vT3P4+e1tbXIysoi83LsLTs7G/X19QAASUlJMi+nrq5OHgMNDQ2BuK4bGhrwzz//wM3NDUFBQRgyZAjs7OywatUqvlAd+/z5MzIzM5GRkUGKNhCNUIoSERGBoqIih2gDUdCupKQkEM8q4jr466+/kJiYCH19fdja2mLJkiV8YaVZXV2N9PR0ZGRkNHklxASA/10PzeWuJSQkeLwX34fY2Fh4eHhwkB83bdqE4cOH87prAJrmr9kbhUIBk8kEAMjIyDRRE1RRUeGZNeb3Ij8/H1euXMGZM2eQl5eHSZMmYdOmTXz3nBaCdxCSvniItLQ0LFu2DImJiTh8+DDs7e35+obC72jphs4uD9uYmMHeNDU1ISIigiNHjuDo0aPQ0tLC2bNnO4QEd3sgLy8PaWlpZOUG4fmdnp5OSiT379+fY3KpqqpKjn9rgwZBQUHYuXMn4uPjMWfOHBw6dAjq6uptsWt8D3Z5amKBRUwuS0pKAHw59wcPHtwsGVJZWZlnFQN1dXV48OABqf4lIyODpUuXYu3atXxbocEOQg6ZGH92v/vKykoAgLi4OHnOE2NPNH6rIPv06RPu3LmDGzdu4NWrV+jbty8sLS0xb948/Prrrz9dBdzQ0IDU1FQyiBUSEoLU1NRmA1lGRkZ8XXX8I4iPj8epU6dw/fp1aGpqYvv27Vi0aFG7LLDfv39PqoBFRkaSNgDKysowNjbGqFGjMHr0aOjq6vJlIq66uhpubm44cOAA5OTk4O7uzvcyxZ8/f0ZcXBx5roeEhKC0tBTi4uIwMjIiz3VTU1P069eP67//9OlTLF68GIMGDcLt27ehoaHB9d/gN2RmZpLJueDgYHz69Al9+vTB6NGjSdJdW9hBsitRbN26FS4uLh16Tl9aWopnz57h33//xZMnT0Cj0SApKQlzc3P89ttvMDMz4yo5q6ioCKamphATE8PLly/5rpK5rVBTU4Nnz57B398fd+/eRU1NDSZOnIilS5di1qxZ3233fe/ePcyZMwfJyckdhgzQHFgsFm7fvg1HR0fk5OTA2toaBw8ehKSkJKhUKpSUlPDs2TO+f3Z8DXFxcRg7diy2bNmCQ4cO8bo7XMeuXbtw+/ZtvH//ntdd4SpYLBbc3NywY8cOaGtrk/PBjRs38rprXEFOTg4UFRURFhYGY2NjpKam4ty5c7h48SK6dOmCRYsWYf369dDW1uZ1V9sdhK3jr7/++sOWpey2jYGBRsUgzwAAIABJREFUgYiLi0PPnj0xadIkWFhYYPr06XxlOcUN5OXlYcaMGcjKysKdO3e+ad/LDTQ0NCAhIYEkGz19+hRlZWUYNGgQxo0bBzMzM5ibmwuk6mhYWBhsbGz4ssCVILkQ66WUlBSIiopCR0eHnLtPmjSJbxUuGQwGfHx8sHfvXlRWVmL9+vXYtWvXd8/ReIm8vDxy3GNjYzlU1IjivPZUC6dQKDh16hQuXLiAQYMGYcuWLVizZg3X1238goKCAkRHRyM6OhpRUVGIiIhAWVkZevfuDX19fZJg116FenV1dfDz88ORI0eQlpaGadOmwdHREWPGjGnz324JBKmInUxExLqpVCoYDAYAYMCAASShaOjQoSTJa8iQIXxBBvlR5Ofn48KFCzhz5gwqKysxb948bNu2rV3nU4QqTnMCAFQqlSSysCsUsRdDa2lpCayFOZ1Ox6VLl+Du7g4ajYZp06bB3t4ekydPbndixfeSWJqzniNynoJ6LaSnp8PLywuenp6oqqqCpaUl7O3tYWJi0u59qampQUZGRhPVtJaOQ2NhADU1tTaJ/bYHCPeev//+G2FhYdDU1MSaNWuwevXqdi8yrq2tBYVC4Rj/jIwM8j0hDNOtWzcoKSlxHAtVVVUMHToUKioqApdzIpQe7927h4EDB8La2ppv3JOE4C8ISV88Rn19PU6ePAknJyfo6+vD29sbQ4cO5XW3Ohy+NjkilHqA/9nmycnJITY2FpmZmZg1axb+/vtvKCgo8HgvBBNMJhM5OTkclQYEMYZCoaCurg4A0Lt3bygrK5MPYfb3KioqzS70WSwWAgMDsWvXLqSmpmLBggXYt2+fQAbi2gqtOfebWxgMGTKk3QJWHz58wMWLF+Hj44OPHz+S6l8zZ87kSxLKt0Cj0ThIYGlpaeQklPAC79WrF0kAa0wIU1RU5Gm1TV5eHm7duoVbt24hIiIC/fr1w4wZMzBv3jyYmZlxbXJcXFyMiIgIREREIDw8HFFRUSgvL0fv3r05VKmMjIw6jMJLcnIyXFxccOPGDcjLy2Pz5s3tXr3a2CogIiICHz9+hJiYGLS1tUlCkr6+Pt9U6wBfEgMbN27E48ePsWTJEpw4cQJSUlK87tZ3ob6+HvHx8QgLCyNbbm4uREVFMXLkSIwZMwbGxsYwMTHh2pyDSqVi7ty5eP/+PTw8PLBgwQKufK+ggCCBhYSE4NWrV6BSqWQiiVALGDt2LNdIRFevXsXq1athbm6Oa9eu8ZX0d1siKSkJT548wZMnTxAaGgoGgwEtLS2Ym5uTlps/GwjKycnB2LFjIScnh2fPnnVY9bqW8PnzZzx69AhXrlzB06dPW6XKyWQyoaWlhbFjx8LDw6Mde80bEAlYJycn1NXVwcHBAV27dsWhQ4dQWFgocMG9xvD19cXy5cvh5+eHefPm8bo7XIWxsTFGjhyJc+fO8borXEN5eTlWr16Nu3fvYvfu3XBycsLRo0fh7OyMoKAgmJqa8rqLP42srCyoqKjgyJEjeP78OZ4/fw41NTWsWrWKLy2H2hNLly4lbR1bk/SsqqpCcHAwAgMD8fDhQxQUFEBZWRnm5uaYPn06fv31V760eeEGkpKSYGFhgW7duiEwMLBNixbYiwWCgoJQUlJCWlkTc0Q9PT2BrZqvqqrCgQMHcOLECZibm+P8+fM8TQxVV1cjNjYWERER5FqITqejd+/eMDY2Jm3qRo0axffJaYJovmvXLlCpVFhbW+PAgQN8uy4lFNgjIyMRGRmJiIgIFBUVoXv37tDX18fo0aPJtWh7k0izsrJw9OhReHt7k7GRtWvXdqh7XHl5OWJiYkiCV3R0NGk3rq6uDiMjI4wePRrGxsbQ1tZu1zhgeXk5fHx8cPz4cRQVFWH+/PlwdHRst0KRxqQidneFb5GKBMGO8UdAWNfduHEDEhISWLNmDTZs2NBmKkB5eXnIysriaMTxyM3NJfMG8vLyzRaSq6mp8YXiFbdAqBhduXIFPXr0wLJly/DHH3+06fOzqqrqq7kbQkyhR48eTfJl7I3fn53fCyaTieDgYLi6uuLRo0eQlZXF6tWrsX79+jZ1Camrq0NOTg4oFArZsrKykJGRgYyMDBQVFQEAaYnJnsthf+1IZOWMjAx4enri4sWLKC8vx4wZM2Bra9vmhXRfy2d+z7NBRUWFb+1JWwNCOfv06dN4+/YtqXC3bNmyDnWeCcFdCElffII3b95g5cqVePv2LZydnfmq8qqjo7y8nKwUaSy/SaPRyMltv379MGLECCgrK0NJSYmjKSgoCCQphR/QWlJSc01BQQH379/Hzp07kZubC2tra+zfv18gbMt4iYqKimZlZ9PT0zkWdjIyMuRYKykpkdeAsrIy5OXluR6QqKurw7///gtfX1/cvXsXUlJSWLZsGWxtbbliEcoPaOm8T05ORn5+PoD/LSKaO+fbk4wHALm5ubhz5w78/f0RFhaGfv36wcLCAlZWVpgyZQrXE6hfk7UniEj6+vowNjYWGPnj5kClUvHXX3/By8sLffr0wbp167B582aeVcJ9q9qXveKX1zLsAQEB2LBhAyoqKrB3715s3LhRIJWV8vLyOJTvYmJiSEtIblVYMxgM7NmzB8eOHcOSJUtw/vz5DhMMai2Ic5wggr179w5du3aFhoYGadXzs3az4eHhmD17NsTFxfHgwYNOV8zx+fNnhIWFkQnUuLg4iIiIkEQ7MzMzjB8//ofmzcnJyTA1NYWxsTHu3r0r8OSdH0VJSQkCAgLg7++PJ0+eoHfv3rC0tISVlRWmTp3a7NieP38emzdvBoVC6TAE6m+hsrIS7u7uOHz4MGpra6GtrY2wsDCBsK/4Fuzs7ODr64vw8HBoaWnxujtcQUVFBQYOHIirV692GDJbfHw8rKysUFFRgWvXrpHBcRaLBSsrK3K+JScnx+Oe/jgKCgpw8uRJnDhxAl27dhXaS7Dh7t27mDt3LgIDAzFt2rRvfp4gIAUEBODp06ekjfL06dNhYWEBfX39dug1b/H48WMsWLAA2trauHfvHlfXeUwmE2/fvsWrV6/w4sULvHz5Ep8+fcLAgQMxfvx4TJw4ERMnTuSrYpefwT///IN169ahoqICR48eha2tbbv3ITMzE+Hh4YiMjER4eDgSExPBYDAgIyODUaNGkQq8+vr6AvVsDgsLw44dOxAWFoa5c+fi6NGjfBWnYjAYSExMRFRUFCIjIxEVFYX379+DxWJBQUEBo0aNIlWk9PT0eEauysjIwLFjx+Dt7Q1FRUU4ODgInCVmc2AwGEhLS2tR3Z5f4lkFBQU4f/48XF1d0dDQgBUrVmDHjh1cn5OwWCzk5+dzxPnZX2k0GgCgS5cukJOTa5ZUpKqqKhDqeT8DwgXj1KlTCA8P56oldmlpabOkrqysLFAoFLIouXv37hg8eDCUlZVJYhE7sYvXMcC2BDH+hIqRnp4e1qxZw1XrQG7kv/jddu5nUVpaisuXL8PV1RUUCgWTJ0+Gra0t16xM6+vrmyV1Ee9pNBqp1tWnTx8y90VcC8R9SUlJqUPngQnSnYeHB+7evQtpaWksXboUGzdu5Nozoq6uDtnZ2U2uBUIsoby8HMAX5yL23Bi7a5SKiorAKqd9C4Rytre3N+rr62FlZYWtW7dCR0eH110TQgAgJH3xEQjVr71792LkyJHw9vbGsGHDeN2tTo3q6mq8ffsWJ0+exO3btzFw4EAMGTIEJSUloFAopFykiIgI5OTkSBJYY2JYWxBjOgMqKys5Kkwav2dfmBBjXltbi9jYWNTV1WHRokXYt28f5OXlebwngoeamhpkZmaSRDBCqpZYIH7+/BnAF2KSgoICBxGM/b2MjMxPBfxzc3Nx7do1nD17Frm5uQKv/vU9KC4uJqtIGjciIAIAsrKypCoeeyPuOW1FHM7JycHdu3dJAtgvv/yC6dOnfzXZ/LMoLS0lpe+JCsnc3FyyMtLQ0BAGBgYwNDSErq6uwBFaioqK4O7uDjc3N9TX12PFihXYuXMnzysWKysrERMTg7CwMLIiuLCwEGJiYtDR0YGhoSHZCIvk9sTnz59x7NgxHDlyBCNGjMC5c+dgaGjYrn3gNqqqqhATE4PQ0FCEhYUhPDwcxcXF6NmzJwwMDGBkZES21lrg3r9/HytWrICysjJu3boFNTW1ttkJAQKdTkdUVBRJBCMIpioqKqTCw49Y+dBoNMyaNQsZGRnw8/ODubl5G+0B/6OwsBAvX75EUFAQHj9+jJycHNJy08zMDBYWFq1a70RFRcHc3ByTJ0/GrVu3Ov38mkaj4datW/Dz80NUVBQkJCQwe/ZsWFlZYcKECeT41NTUQFlZGTY2Nti/fz+Pe92+yMrKgpqaGkRERKCqqor9+/dj7ty5Ak1IYTAYMDc3R3Z2NqKjo/nW9qo1CAwMhKWlJfLz8ztE4c6VK1ewbt06GBkZ4fr1603mdBUVFRg1ahR++eUX/PfffwJHYiVUKPz8/NC3b18UFxfj6dOnnfp5x46ioiJoaWlh1qxZOH/+fLOfaWhoQHh4OAIDAxEQEICUlBQMGDAAkydPJolenUklzdXVFX/88QdWrFiBc+fO/fSasr6+HjExMaTaa0hICEpKSiAuLg5TU1OS5KWjo9OhEqh0Oh3bt2+Hr68vrKys4O7u3qaqGASqqqoQHx9PEl1evXoFOp0OUVFRDBkyhCxk0dfXx7BhwwTyGZySkgJnZ2f4+/vDzMwMx44dg66uLq+71aSIKC4uDtXV1ejbty+0tbVJgpGpqWmr149tAUL1/Pr169DQ0ICDgwMWLVokkHP6hoYGpKamIjY2lqPV1NRAXFwcI0aM4Cie4wdy4Js3b3DmzBlcvnwZ/fv3x5o1a3668LC8vLwJmYh4bRy7J6y2miNSdEbVksLCQvj4+ODMmTPIz8/Hb7/9Bnt7+1ap6DRnwUi0vLw8srAY6PiqOK0FjUaDp6cnzp49i7Kysh9WMWIwGCgqKuIgOLIfAyqVSuYQu3fvDjk5Ob4o8OYXhIeH4/z587h16xZ69OgBa2tr2NnZQV1dvdXf9TVyXXZ2Nurr6wE0fxxkZGQ4ci2COFf5GRD3o/Pnz4NKpcLMzAx2dnawsLBo9b2hpqYGeXl5Te5Fzal19ejRgxz3xg5EvHbBaU8Q5FMPDw8O5WwbGxsMGDCA190TQoAgJH3xIZKTk7Fy5UrEx8fjjz/+wP79+wUuCNgRkZSUBDs7O4SHh2Px4sU4deoUunbt2uyDKzMzE2lpaaioqCC3/9rEujM9wLiJliZyGRkZoFAoZJUEQUxiZ4OzT+Q6eqVEW6Dx2LNfA+/evSNJYd26dYO8vPxPT6IbGhrw4sULeHh4kFW/y5cvh42NDVRVVdt6d/kG1dXVHCSwxmS86upqAF8qIQgyXnOEPG6RibKyskgLyLi4OEhISGDOnDlYsGABTE1N2/S6Ki0tJQP5sbGxiIqKQmFhIURERKChocFRQWlgYCAQAaSKigp4e3vDxcUFxcXFmDdvHpycnPiKnJORkYGIiAiShBcfH4/q6mr06dMHenp6HESw9gpqJiUlYd26dYiKioKdnR0OHDjQYWz1WCwWUlNTER4eTtqfpqSkoL6+HlJSUhwkMENDw28uBKlUKubPn4+UlBR4enpi/vz57bQngoHKykpEREQgJCSETJzU1NRARkaGTFZ9r9VPTU0N1qxZg2vXruHQoUNwcHBop73gb7x9+xZBQUF49uwZXr58iaqqKqiqqsLMzAzm5uaYOHHiN8/j8PBwTJkyBb/++iv8/PyEc+j/R2ZmJm7evAl/f3/Ex8dzEMAmTpyIQ4cOwdXVFVlZWR3mHvk9uH//PubMmYOYmBicOnUKV69ehZGREVxcXDB+/Hhed++HQafTYWBgAE1NTTx+/FjgkzRbt27Fs2fPkJSUxOuu/BSqq6uxYcMG+Pj4YMeOHTh06FCLx+b9+/cwMjLC8uXL4ebm1s49bT1qampw69YtnDx5EklJSaS9xJAhQzBx4kRkZ2dzzZ5a0DFnzhzEx8cjMTGRI3n36dMnBAcHIyAgAAEBASgtLYWKigpJ8vpRJUxBRn19Pezt7XHu3Dk4OTnB2dn5h76HwWAgKSmJVHN9/fo1ysrKyPkyMY8bNWpUhx1jf39/2NnZoU+fPjh//jymTJnSZr8lSArRP4ucnBwcPHgQFy9ehK6uLo4ePYrJkyfzpC8fP34kLQKJ9vHjR4iJiUFbWxujRo0i14YaGhp8Fed88+YNjh8/juvXr0NTUxPbt2/H4sWLBWb+wmQy8eHDB8TFxZHnfFxcHCorK9GzZ0/o6uqScRAjIyOoqanxFWEgJCQELi4uePToEdTU1LB+/XqsWbPmu+JkhOVZS8Sujx8/Avii1iUrK0sSuhq/ysrK8tWY8BLx8fE4f/48fH190a1bNyxfvhxbt26FoqJik89WVlaCSqWCQqEgOzsb2dnZoFKpyM7ORlZWFvLz88n8x8CBA5sUBhNt8ODBHco29UfBZDLx77//4uzZs/jnn38gKysLW1tb2NjYtKiIXVVVBQqFAiqVSo49+zEoKCggFaJ69uwJJSUlDB48GIqKihg8eDCpoKaiotJpVLe/hcrKSly7dg3nz59HQkICRo4ciXXr1mHx4sXo3bt3s9vU19cjLy+PHHd2xS4KhYKcnBwwGAwAX4hELYlzKCkp8a0dMy/w8uVLnD9/Hnfv3kWvXr1gbW2NdevWYciQIS1uU1BQwHEdEMeEeF9SUkJ+duDAgRzXAntTVlbu9ISm/Px8XLlyBe7u7qDRaELlbCF+GkLSF5+CyWTCy8sLf/zxB1RVVeHj4wM9PT1ed6vTg8ViwdfXF9u3b0dDQwMOHz4MGxubFm/AdDq9yQSEIGhQqVSy2oWQqmw8ASGsI2VlZTtsYKqtUFNTg8TERJw8eRIPHjxA9+7doaGhgW7duoFCoTSZkLNPxhtPROTk5IQJxVaAyWSCRqNxkJGIyXhWVhZoNBrJ5u/bty95risqKpJNQUGBJCc1DlRRqVRcvHgR3t7eyM/Px6RJk2BjY4OZM2d2eoJsc0RIgpD3LTJeY0Jea5Genk4SwBITEyEnJ4f58+dj0aJF7WZHQlS5Ei0sLAzFxcUQExODuro6R/BZU1OTr4Kg7KitrcXNmzdx4MABUKlULFiwADt37uRL9c/mqlsJi8J+/fpBS0uLHPdx48a1WYCDeD5v27YNoqKiOHr0KJYtW9Ymv8VrsFfSE+3du3dgsVhNbCH19fWbJFpqa2uxY8cOuLm5wdbWFm5ubsLgXwtonEAMCQlBaWkpxMXFYWRkRI7xuHHjWqyOdnV1xdatWzF//nx4eXkJfOKLm6ivr0diYiJpBfny5Us0NDRg6NChpN2mubl5s2MbEhKCqVOnYs6cOfDx8eHb+zmvQKVScf/+fVKVs3///jA3N0dgYCAcHBywZ88eXnex3WBnZ4eYmBhERUUBAKKjo7Fz504EBwfDzMwMJ06cEFiZ/Li4OIwdOxZbtmzBoUOHeN2dn4Kenh5MTU3x999/87orP4zU1FRYWVmhoKAAvr6+mDp16je3uX//PmbPng1vb29YW1u3fSd/AB8+fMDFixfh6emJqqoqWFpaYvPmzRgzZgwA4OnTp5gyZQpKSkp4ZlHOT/D29oaNjQ2Cg4Mxfvx4JCUl4dGjRwgMDERkZCRERUVhamoKCwsL/P7773yh/MIrFBcXw8rKClFRUbh69SpmzJjx3dtyk6gv6MjKysKaNWvw/PlzrF69GidOnOCqUkhlZSUSEhJINan//vsPRUVFEBUVhY6ODjkf1tfX7zD2mMCX8/PYsWNwdXWFlJQUdu3ahdWrV7fbnLO8vBxJSUk/vObjFyQmJuLQoUO4ffs2tLS0sG3bNixZsoSv5+4NDQ149+4d4uLiyJaQkICKigqIiYlh+PDhpAq3oaEhtLS0+DJmzGQy8ejRIxw5cgTh4eEwMTGBg4NDk0Qyu1JUc0XtLSmyNG4aGhro06cPr3aX70EcDzc3NwQFBUFDQwPr1q3DjBkzUFRUxEEmYicXFRcXk98xYMAAjpwFe4GvsrJypyrsaS3Kyspw8+ZN/P3333j37h1MTExgb2+PmTNnorKystlzn/gbu/1iS9cAEU8XCgt8Hampqbh06RI8PDzw+fNnWFpakupqJSUlTY4D+7/ZlbrY8xrsuYzOYoX5sygvL4efnx/OnDmDN2/ekMU8ixcvRrdu3ZpVriOOxdeEThofCzU1tQ5rwfizCAkJgZubG+7fv4/+/ftjxYoVWLduHQYPHszrrgkh4BCSvvgcGRkZWLVqFcLCwoSqX3yE0tJS7N27F+7u7hgzZgzc3d0xYsSIVn/P19SSUlNTSelX4H8PUPaHJ/v7zijD+70oKCjA4cOH4eHhAWlpaezevRuLFy9GaWlpixOYlsa/uUmMurq6cGHVCjAYjCZVGdnZ2eQrjUYjJ/FiYmKQl5eHgoICuahVUFCAoqIi5OTkkJqaiitXruDx48cYOHAgli9fjtWrV3+1GqEz42syx18L5DSetH9LnfDdu3e4efMmbty4gbS0NAwePBgLFiyAtbU1hg4d2l67CyaTidTUVA5byISEBNTW1kJcXBy6urrQ1dWFnp4edHV1MXToUL4K1jEYDNy4cQMuLi5ITU3FtGnTsHv3bowaNYrXXfsqqqurER8fT6qBRUdH48OHD2CxWFBQUCCrXw0NDaGnp8fVBGFJSQmcnZ1x5swZjB8/HmfPnm3Xc45XKCsrQ3R0NFltHxkZSSZjhgwZwlFxr6uri65du+LevXtYuXIlVFRUcOvWrU6lmvijqK+vR1xcHGm9GR4ejpycHIiIiGDEiBEYM2YMRo8eDWNjYw6FvidPnmDhwoXQ1NTEnTt3eG7dyq8oKSnBf//9hxcvXiA4OBjJyckQFRWFkZERacM0ZswYMqn17NkzWFpaYuHChfDy8hIG9VoAOwEsNDQUXbp0IUnZbWXLzE9QU1PDggULcPDgQY6/BwUFwcHBAQkJCZgzZw5cXFxabeXKD/D19cXy5cvh5+eHefPm8bo7P4Ti4mJISkri7t27rSJ98BOuXbuGNWvWYNiwYbh161arLLS2bdsGd3d3hIaG8k2hX319PQICAnD27Fk8f/4cysrKWLt2LVauXNnETvTu3buYM2cOGAwGX82jeYHc3FxoaWlh8uTJkJCQwJMnT5CdnQ0JCQlMnDgR06dPx4wZM4TJD3wpGLKwsEBFRQUePnz4zXO/sLAQkZGRJMErKioKDAaDw5LbzMysU5Ho6uvr4e7ujt27d0NZWRmenp4/vU5kMpl4//49IiIiEBERgfDwcKSkpKChoQGKioowNjbG6NGjMXr0aOjp6XXI+HRdXR3OnTsHZ2dniIiIYPv27di8eXObFsmUlpZyFFDFxsYiMzMTAKCgoECqlxOvEhISbdYXbiE8PByHDx/Go0ePoK2tjV27dvGlvXZ9fT3ev3/PQa5LSEhAVVUVR/Ege+NXgh2Buro6+Pn54ciRI0hLS8Ovv/6KJUuWoF+/fhyEIqIVFBSQ2/br149DgYW9IFpJSUkgzj1+Q3Z2Ntzc3HDlyhV8/PgRsrKykJWVBZPJbBV5QlVVVUiu/wG8evUKZ86cwcOHD9G1a1cMGzYMCgoK+Pz5M3JyckClUskCaQCQkZFpVhCAKFYX5n9aj7q6Oly/fh0XLlxAZGQkJCQkoKWlBUlJSdDpdOTm5iI3Nxe1tbUAvqgGDho0CAoKChw5IXl5ecjLy2Pw4MGQkZHhu+eJICA2Nhaurq64ffs2GhoaoKuri2HDhqGuro5Us8vPzyfzQ927d+cQyVBUVISysjKHaENHjydxExUVFbhx40YTst3SpUv5fm4hhOBASPoSADCZTLi6umL37t1QV1eHt7c33wQDOztiY2Oxbt06xMfHY8OGDdi7dy/Xk9eNyWDs79lJGmJiYpCQkGiWEEb8u7NPiHJzc3H8+HGS/PXnn39i5cqVzQanWSwW8vPzm8j2sksql5eXk5+XlJQkJ6MEIUlOTo58Ly8vLxD2cvwCdnJSc9U27DKxPXr0gLS0NMTExECn01FRUQElJSXMnDkTq1evxtChQ4WEyO9AXV0dScZrXGGWnZ2N3NxcUiZZTEyMPL/ZJ/5EU1JSQq9evQB8sSz29fWFr68v8vLyMGzYMFhZWWHZsmU8CcozGAy8efOGlOOPi4vDmzdvUFtbi549e0JbW5skgunp6UFLS4vnKkgsFguBgYE4fPgwIiIiyApNCwsLnvarNaioqEBiYiJHMDUlJQUAOGxA9PX1YWRkBGlp6Z/6vZCQENjZ2eHDhw9wcHDAzp07O909mFC+I5JjcXFxpBWnjo4O9PX1IScnh0uXLiE/Px9eXl6YM2cOr7stcMjPzyeTM+xKE/369YOhoSFZfS8rK4slS5agvLwc9+7dg5GREa+7zvcoLCzEy5cvSRWP2NhYUlXCzMwMZmZmqK6uhpWVFWxsbHD69Gled5nv8ebNG4waNQpSUlLIzs5G//798fvvv8PKyqpDEsCysrKgoqKCly9fwtTUtMn/s1gs3L59G46OjsjJyYG1tTUOHjwISUlJHvT2x2FnZwdfX1+Eh4dDS0uL191pNe7cuYP58+ejqKgI/fv353V3WgVCPfP06dPYuHEjjh8/3moSRH19PczNzZGXl4e4uLgWLU3aA8R8wMPDA3l5eZgyZQrWr1+P3377rUVi7eXLl7Fu3TqOhFlnApPJRExMDJ48eYK//voLZWVlEBERwahRozB16lRMnToV+vr6QmIyG0JCQjB79mzIyckhICAA8vLyHP9P2JuHhYUhNDQU4eHhSE1NhYiICHR0dDBu3DiYmppi7NixndaeJykpCatXr0ZCQsJPFQg3VsoODw/Hp0+fSLtAYh5ramraKjKrIILJZOLOnTvYsWMHCgsLsXHjRjg6OnKdpNn+s/NwAAAgAElEQVTcujg1NRVMJrPJutjQ0FDgrMBCQ0Nx9OhRBAYGwtjYGI6OjnxjUcRgMJCWlsYx9sQauTmCl4GBAd/HEFgsFgoKCpCTk4O0tDTcvXsXz549w+fPn/HLL7+AyWSitLSU/LyEhEQTIgthRTd48GAhqaiV+Fre5v3796DRaKTLSNeuXck4amNVIhkZGSgpKfF0DiiIqKqqQnZ2NnJyckCj0cjYdXZ2Nt69e4e8vDwybwYAvXr14iAPEaQVdpIXr+O/goja2lrQaLQm10FmZiZiY2NRUFAAdgoCe6F5c/lL4bXwY2hoaCCfB3l5ecjJyUFubi5ycnKQkJAACoVCEusI9O/fH/Ly8k0sSYlXYcEqd/D+/Xv4+PjgwoULqKmpgZWVFf744w+MHDmS110TogNCSPoSIKSnp5OqX1u2bIGzszOZVBeCd2Aymbh48SJ27dqFLl264PDhw1ixYkW7BPUYDAaH3GZzEqjsE6vu3btDTk6uRbWwzlI1kp2djZMnT+LChQuQkZGBo6MjVq1a1WpiUGlpKYeHO7HIICZVeXl5qKurIz8vKSkJOTk5KCgokLadxHvi70JW9/ehtLSUrMhh9w/PycnB+/fv8enTJ/K8FxERgaysLFmJwE7Ik5WVhby8PAYNGsQXQSh+BpPJRH5+Pkl6ZG9ENQh7hZqEhARJAiMWDNXV1UhKSsLz589RUlICY2NjWFlZYeHChTwN2Deu7kxJSUFcXByKi4ubKCUNHz4cenp6PPOcDwkJgYuLCwIDA6Grq4vNmzdj8eLFAklszM/PJ4l3RMA1JycHAKCoqEgS74jW2sUmUf2+Z88eSEtL48yZM5gyZUpb7IpAoPF5Hhoaivj4eDCZTPTq1QufP3+GgYEBdu7ciYkTJ/LsHBd0EJaFhOpaSEgIsrKyICIiAnV1dVRWVoJOp8PZ2RmOjo7CZ08rUFBQgNevXyMoKAhPnz4FhUJBr169oKamhrdv32LmzJnw8/PrcMQlbsPJyQlnz57Fq1ev8OzZMw4LyI5GADt37hwcHBzIBHZLYDAY8PHxgZOTE+rq6uDg4IBNmzYJzLycwWDA3Nwc2dnZiI6ObqLExO/YsGEDoqKiSAtOQQGVSsW8efOQmpoKLy8vWFlZ/fB35eXlQUdHB7NmzYKHhwcXe/l9IKq+/fz80Lt3byxbtgz29vbfVaBx5swZHDhwAHQ6vR16yh8oKirCf//9h6CgIAQEBCA/Px99+/ZFZWUl9u7di02bNgkcgbG94O3tjXXr1sHS0hKXL18m56DR0dEkwSssLAzFxcXo1asXSaAnbOw6u8JGdXU1XFxccOTIERgaGsLT0xOamprftS2VSiWVpIhWUlICUVFR0q6OaDo6Oh1iHvC9CAoKwrZt25CcnIyVK1fC2dmZK4nOoqIixMfHc7T09PQmBC9CxUuQk6vscQp+KFIrKSlBYmIi2eLi4pCSkgIGg4G+ffti5MiRZJxBX1+fb4tFKyoqyIJMInnPHv9kV8cB/qeQY2hoiKFDhzYhdwmJFN8HJpNJkicIFSKCUES8LygoIF0qunbtCmlpaSgqKkJMTAw0Gg0UCgVSUlKYM2cONmzYgKFDhwrX/q1AS0Qi9veNc15SUlJgsVgoKipCfX09RowYAQsLC8yYMUMohvCDoNPpyM/PJ/NceXl5yM3NRX5+PnJycpCfn4+PHz+Sn+/ZsyckJCRQV1eHwsJC9O7dG+PGjcPChQuhr68PRUVFoQ3sD6Curg4fP35sci20ZH8JAOLi4ujWrRvKysrAZDKhoaGBX3/9FZMmTYKsrKzQerGN0dDQgH/++Qdubm54/vw5VFVVsXr1aqxevVrg4jVCCBaEpC8BA4vFgq+vL7Zs2YJ+/frhwoULMDc353W3hMAXEsrRo0dx6tQpaGlp4fTp0xgzZgyvu4Xq6mpycZibmwsqlcrB9M7OzkZlZSX5+V9++YVUpiKkVGVkZCAvLw8ZGRnIyclBWlqaLxfDrQWVSsXhw4fh7e0NdXV17Ny5k+vkicZ+5I3fNx7/lqodiPfCCdn3gcFgID4+Ht7e3rh37x4KCwshKSlJBtHy8/NRVFREfl5MTIwkgBGEvMYEMWlp6U5vWfItVFdXt2iZ2lidEAC6detGLkiUlJRgYmKC3377jTwGvLatbVz5HBUVhcLCQgBN1akI5ZT2QkJCAv766y9cv34dQ4cOxY4dO7Bw4UKBD86Xlpbi7du3HOP+7t07sFgs9O/fH8OGDeMY92HDhn0zaJOXl4edO3fC19cX06dPx9mzZ6GgoNBOe8TfKC8vJ8/te/fuITo6GkwmE127dsXQoUNhYGBA2qCOHDlS+Pz5QeTk5CAsLAwREREICwtDbGwsGhoa0KtXL5iZmWHMmDEwNjaGgYGBsKCjFcjMzCRVwO7cuUMSe8aPH08miE1NTTuk9dDPoLS0FMrKyti+fTv+/PNPAF+Ki/z9/eHv74/4+HhISkpi9uzZmDt3LiZMmCCw85958+ahuroaAQEB3/X5yspKuLu74/Dhw+jbty+cnJxaVAXmN9DpdBgYGEBTUxOPHz8WqLXasGHDYGlpiaNHj/K6K9+Nhw8fwtraGkpKSvD39+eKRfL9+/cxa9Ys3Lp166cIZN+L8vJy+Pn5NbGXWLJkSaueRUeOHMHFixeRnp7ehr3lLRoaGpCQkICAgAAEBgYiLi6OVPOysLCAmpoali5dij///BO7d+/mdXf5EiwWC/v27cO+ffuwatUqWFpaIiwsDCEhIYiJiUFtbS25viIIXoaGhkLFDTa8fv0aNjY2KCgowL59+7Bx48YWi00br2Ojo6NBp9MhIiICDQ0NjvWUnp5ep51/hoeHY+fOnXj9+jVmz56NQ4cOQUND44e+i0qlNiF45ebmAgDk5eU51MQJxeWOgJCQEDg7O+P58+c8IXuxWCxkZmYiPj4eSUlJJMmLSqUCAAYOHIiRI0dyjL+6ujpfqC82LuRuSTGKQON4sZiYGD58+ICIiAiIi4tjzZo12L59e6co5v4ZNDQ0kJZyROE2u1IUQWQhnA4IIp28vDwZHyaUoohCbnFxcdy4cQNubm5IS0vD5MmTYW9vj2nTpvHFucZPYDKZoNPpJIGIRqORpCJ2laJPnz6R2/To0YMsmCfUuYjieXl5eWRmZsLPzw93796FtLQ0li5dig0bNjRREhXif6iurm5C3mqO2MUuZtC3b18yXk/kUAg7zJ49e+LVq1fw9fVFdnY2Jk2aBFtbW8ycOVPg49RtjZqaGnLcGxO5iPeN8ymEFWzj3KGkpCTevXuHwMBA/Pfff1BTU8OqVauwatUqoT1vO6GgoACXL1+Gu7s7aDQaJk2ahE2bNvGN6qkQHR9C0peAoqCgABs3bsTt27dhZWWFs2fPCm/cfIL379/D3t4eT58+xZIlS3Ds2DG+l+MuKSkhCWHEBC8nJwcFBQXkv4uLi8nPi4iIQFpampzcKSgokAsgYuInJycnMAvNrKwsHD16FBcvXsTQoUOxd+9ezJ07t90exHQ6HTQajawWIibX2dnZ5N9ramrIz/fv35+DiEQQ9IhXgpgnCAmq9gCTyURwcDA8PDxw//599OrVC/Pnz8eqVaswYMAAknxHo9HIRT7xnr1qSEREhCRCEsRIdsU24vwXJpdbRnOVKVQqFaGhoUhLS+OQnQe+kMIGDhz4VSKkkpJSuwZRKBQK4uLiEB8fT74SgTglJSXo6upCW1sb2tra0NHRgYqKSpveS9LT03H8+HH4+PhAVlYWW7ZsgY2NTYcK3JeUlDRRBEtPTweLxYKkpCRJSBo5ciR0dHQwZMiQZu9/gYGB2LRpEwoLC7Fnzx5s27ZNoJLi7YHs7GzMnTsXiYmJMDU1RdeuXREfH4+ioiJ06dIFKioqJAmMaPw+x+FHMBgMHD9+HM7OzpCUlISoqCiys7ObTcQJE57fBxaLhcOHD2PPnj0YNmwYioqKUFhYiD59+sDExASmpqYYP348DA0Nhc9p/E/tKysrC3379uX4PyqVivv37zdRALOwsMC0adMESiGAeC5u3769Vdt9/PgRJ06cwN9//w1lZWXs37+/XdcGP4q4uDiMHTsWW7ZswaFDh3jdne8CnU6HjIwMHj9+LBBqnPX19di9ezeOHTuGJUuW4Pz581ydc9nY2ODevXtISkqCrKws176XHXFxcbhw4QKuXbuGhoaGn7aX2LVrF/755x/Ex8dzuae8RVZWFp49e4agoCA8e/YMpaWlUFFRIe2Fp0yZAnFxcdTX18PExAQNDQ0IDw8XJrYaoaGhAfHx8bCxscGbN28waNAg0Gg0cs5DELwIRWUhmqK4uBjbt2+Hj48PZsyYAXd3d477Q+OimdDQUGRmZgJoWqg0duxYoQodvthd7969Gw8fPoSpqSlcXFwwevTo796+NcVhRkZGkJaWbqtd4RmePn0KZ2dnhIeHY8qUKdizZw9MTEza9Dfr6urw4cMHDoX2+Ph4khzSeOyHDx8OZWVlnszfWpvEFxMTg4SERBObM/Z/E9cuoar26NEjqKqqYsOGDVizZg3fW1G2B4hC1K+Ne2M1nP79+7foiPItq7n09HR4eXnB09MTVVVVmDdvHrZv344RI0a01y7zFYjC9+aIXESOiU6nc4w/IT7Ank8iCrEJcp2kpGST38rPz4e3tzc8PT2RnZ0Nc3Nz2NnZYfr06Z0+zscuQNDcNdBYJQ1oSiJq/NqcOxCLxcLz58/JfEu/fv2wYsUK2NraQk1Nrb13m+9QXV2NkpKSZu9JLR2LlvIg7PclRUXFJjHvtLQ0eHh44NKlSygvL8eMGTOwdu1aTJo0ie9jGB0F7MrZ/fv3x4oVK7B27doOb48uBP9BSPoScAQEBMDOzg51dXU4fvw4li1bxusuCfH/CAgIwKZNm1BUVIRt27bB0dFRoJN2tbW1+PTp01cnjLm5uSgvLye36dGjB/r379/iRIWoBuAXWdeUlBQcPXoU165dw/Dhw7Fnzx6+SfAUFRVxWEcSZLD8/HxyMcVOzCOkpYmxZm+EYpuMjAykpaX5Yv/aC3Q6HZcuXYKnpycyMjLIivbFixc3u4hnr7xrSbHtawGDll6bm6AL8UUNx8fHBz4+PqBQKFBQUMCIESMgLS2NoqIikpDXuOKLUGVjVyQkxpsgQ7bl/Tc/P58kgRGVpRkZGWAymejTpw9GjBhBksC0tbUxYsQIrluTUKlU/PXXX/Dy8kLv3r1hZ2cHe3v7DhvULy8v5yDeJSYm4t27d2AwGOjZsyeGDx8OXV1d6OjokOMuLi5OWqIcPXoUmpqaOHfuXKsC/J0B9fX1OHjwIA4cOIBZs2bB09MT1dXVSElJQXJy8ncpsGlqagorWr8DcXFxmDlzJnr06IFz587h48ePiImJQXR0NGJjY1FZWYmePXti5MiRMDQ0JNuQIUM61bO7NfD29sbq1atx+PBhzJs3j1QC+/fff0GlUtGzZ0/o6elh7NixMDMzg4mJicBY+HETzal9NYfGBLCePXti0qRJsLKywqxZs5oQxvgJ6enpUFdXR2ho6A+rL1OpVOzZswdXr16FkZERXFxcMH78eC73lLvw9fXF8uXL4efnh3nz5vG6O9/E9evXYW1tjeLiYr5ZE7aE3NxcLFiwAHFxcTh9+jRWrVrF9d+oqqqCjo4Ohg8fjgcPHnDte2tra/Hw4UN4eHggKCgIGhoaWLFiBWxsbH7aznnTpk2Ij4/H69evudRb3qC6uhqhoaEICgpCUFAQYmNj0atXL4wZMwZmZmawsLDAsGHDmmzn7OwMFxcXxMTECElL+BK3iIyMRGRkJMLCwhAZGYmqqip06dIFo0aNwrRp02BiYgIjIyO+v+b5AVevXsXWrVshKioKNzc3mJubIykpqVlV5MaElzFjxgjtYxqBUPtnL/j8mrJiSUkJkpKS8PbtWyQlJSEpKQlv3rxBVVUVxMTEyDUn0XR0dPh6bsQNBAcHY+/evQgJCcHUqVPh7OyMUaNGcf13SkpKONaesbGxeP/+PRoaGtCnTx9oaGhwrEF1dXXbrTChoKCAJLQQcVmigJeI1TaOjRNkFsJNg72YVFFR8Zu2c0wmEw8ePICLiwsiIyMxbtw47NixA7///nunWBcyGAzQ6fSvKhLl5OSgqqqK3IYYd3ZFInY3E+KYtDZW2NDQgMDAQLi7uyMoKAhKSkpYt24dVq5c2WHvuT+SE+revTsGDBjQhLDCHh+Xl5dvlZo8i8VCUFAQLly4gIcPH0JcXBzW1tZYs2YN1NXV22LX+Qb19fUoLCwkSUIFBQXIy8tDYWEhaDQaeX3Q6XRSpQ4AmZdr6RqQlZWFtLR0q+J3dDodPj4+8PLyQkZGBkxMTLB27VrMnTu3U5BPy8rKyONAjD3xShAbc3NzOe5HhIAGce6zN+JZICsr2yoHkZqaGty5cweenp549eoVFBUVYWNjg1WrVgmLc9sJFRUVuHHjBtzd3ZGUlETmGZcuXdop44xC8AeEpK8OgLKyMjg5OeHMmTOYOnUqzp49i8GDB/O6W0IAZHLZxcUFioqKOHXqFKZNm8brbrUpiEUAezUH8W+CoESn08FkMsltJCUlSQUlaWlpyMnJQUpKipx4Dho0CLKysu2mXJOQkIC9e/ciICAAhoaG2Lt3r0Act+YWYS29sqM5klLjhdigQYM6VAKfxWIhNDQUvr6+8PX1hZiYGBYsWIC1a9dCV1e3Vd/V0NDAIUFNkPBoNBoZhMjLy+NQsRIVFYWUlFQTlTbiGiDU8zqzgmNYWBguX76MmzdvoqamBrNmzYKNjQ0mTpyI6upqDiU8KpVKjjcx/nQ6naNqSUpKimOsGxPEfmSh+zU0V4WamJhI2ooSQfnhw4eTwUpuEGWKiorg7u4ONzc31NfXY8WKFXBwcGgztQh+AoPBQFpaGjneycnJiIyMbDLm+vr6GDBgAPz8/BAREYElS5bg1KlTHTZA96MIDg7G0qVLISYmhuvXrzchTZSVleHNmzfNBuLFxcUxYsQIjnNcqFjVPPLy8jB79my8e/cOV69e5bBDIewL2ce4pqYGffv2hba2dpNKdiG+4PTp09i0aROOHz+Obdu2kX//8OEDXr16hZcvX+Lly5fIzs5Gjx49YGRkhAkTJsDU1BTGxsYdSinxa/ia2ldzKCoqwuPHj+Hv749///0XIiIiMDMzg5WVFSwtLflO4ffSpUtYu3YtysrKfvreExMTAwcHBwQHB8PMzAwnTpyAjo4Ol3rKfdjZ2cHX1xfh4eHQ0tLidXe+ChsbG6SmpvI9YSg4OBiLFi3CL7/8gtu3b7fpuL58+RITJ07EtWvXsHDhwp/6LkKB4uLFi2TVt62tLSZPnsy1JPHKlStRUFCAf/75hyvf157IzMwkSV6PHz9GZWUlVFRUMH36dFhYWGDcuHFfvX/Ex8dj1KhROHnyJDZu3NiOPecP1NbWIj4+HlFRUSTRKyMjAwAwZMgQqKqqIjQ0FFJSUnjy5AlXbFA7CzIyMrBy5Uq8fv0a2traUFBQQEpKCqngpaioCAMDA7IR6xshmkdRURFOnjyJv//+GzIyMnB0dMSqVatINRgGg4F3797hzZs3ePPmDUn0ysnJAfAlZqatrQ0tLS2S4KWlpdWp1GNDQ0Oxd+9e0sbx4MGDmDBhwk9/b3l5OT58+IDk5GRyDR8TE4OCggIAX9bw7DGTtiwwYlemb4nYQqVSmyUWfU0p6mfiqXV1dbh27RqOHTuGtLQ0WFhYwMHBAcbGxtzabZ6ioaEBhYWFHIo3xHizx1QbqxIRRc7sxBUijkqQWrgdTy0tLcXly5fh6uoKCoWCyZMnw9bWFrNmzRLYot6WlNHy8vI4FIqaU4X6Vh7hW0TG1qC0tBS3bt2Cq6srUlJSftiSnB9RWVkJGo3WhNBFxLWJ/yssLOQ4Bn369OHIn7HHudmJXdwinrTkomJnZ8fX6+LW4GvXA/FKo9FQVlbGsV17F/+npqbi0qVLuHjxIkpKSjBx4kSBvxcJGtLS0uDt7Q0PDw98/vwZlpaW2LJlS4d5Ngsh2BCSvjoQQkJCYGtrCyqVCicnJ6FtER8hNzcXf/75J3x9fTF9+nS4urpCRUWF193iGerr60nWO1GNQ8j8slcqEPLoBPr06UMSM4iFM8GSZyeJSUlJceXcj4mJgbOzMx49egQDAwM4OTl1CP/lqqoqcqyJCgSiGoT979XV1eQ23bt3JyeqUlJS5MKCOA7sfxO0wFdJSQn8/f1x+vRpvH37llw8Llq0iKvVx9XV1RzjSxDFiPEnKkQ+f/5MbkOMOzsxib0RpMiOTFapqalBQEAAPDw88Pz5c6iqqmLx4sVYtWoVFBQUvrptSUlJkyDd12SUgZal3bkVvMjLy2uimEQQZbp16wY1NTUOEsfIkSN/KFhVUVEBb29vHDt2DJ8+fcK8efPg5OTUKSW2KRQKqcCWmJiIhIQEZGVlgcVioXfv3mAwGOjatSvmz5+P9evXQ0tLS1iR8/8oKiqCtbU1nj59il27dsHJyemrAevGZEfCjrO6uhpiYmJQV1fnICrp6ekJfJCOG6itrcXatWvh6+uLQ4cOwcHBodnP1dfX4/379xz2PQkJCWhoaGii7jB69OhmbRA6C06dOoWtW7fi7NmzWLt2bbOfycvLI1VdQkJCkJKSAlFRUejo6MDExARjx47FhAkTOuw4fq/aV3P49OkTHj16BH9/fzx9+hQNDQ0YPXo0rKysMH/+fL6oLLWxsUFaWhpevnzJte8MCgqCg4MDEhISMGfOHLi4uEBZWZlr388tMBgMmJubIzs7G9HR0Xw9T1RVVcWSJUuwb98+XnelWbBYLBw7dgx//vknFi5ciPPnz7eLOtG6devg7++P5OTkVtuCsSdl7t69C2lpaSxduhQbNmyAvLw81/tqZWWFrl274ubNm1z/bm6jsLAQL1++RFBQEKkA2adPH0yYMAEWFhb47bffvrm+IFBTUwN9fX0MGjQIQUFBAh8j+B4QlnahoaEkKb2mpoYk+xNWjaNHj8bz58+xcuVKjB8/Hn5+fq1S8uhsqK+vR2pqKhISEhAXF4dHjx7hw4cPYLFYpL06YWWvp6cHAwODVilBdGYUFxfj2LFjOH36NAYMGIA9e/Zg6tSpSEtLI9fjxNq8pqYGoqKiGDJkCAfJiJcWgfyAsLAwHDlyBIGBgTAxMcGBAwcwceLEVn9PXV0d3r17h+TkZJJcl5ycDAqFAgDo27cvhg8fjhEjRpBNR0eHa8rljZP5zcWJ2O0WgW/HhtTU1Nrs3lZVVQUvLy+cPHkSBQUFWLBgAXbu3Nms4iQ/oq6ujkOBiEajkfF+dmJXYWEhx5j36dMH8vLyZDEsEQ8lYqJEEWd7xp1jY2Ph4eGBq1evQlRUFAsWLIC9vT3fHgti7PPy8kCn01tUhiosLERtbS25Xbdu3cjYPnvehSjEZ49Dt1e+kRh79mJtQSEZERaLX7P3a1wgDjQlEBFKXex/k5OTa7eCq4KCAly+fLmJY4qgEO6qqqpQUFAAOp1OOrkQ7xtfIzU1NeR23bt3x6BBgyAnJ0e+EkIV0tLSkJeXh5SUVLvZNzfOjcjJyWHx4sVYv379d69dhPg5MBgMPHjwAGfPnsWLFy+grq6OdevWwdrausO6rAghmBCSvjoYampqcPDgQRw7dgz6+vrw9PTk++rezoSnT5/C3t4eFAoFf/zxBxwdHYWS9t9AYx/y5ibLX5skNzc5Zp84fw95IykpCQcPHsTt27cxYsQI7N69m29sH9sSZWVlpGoSu2IVnU4nF+d5eXkc8s0AMHDgQJKMJCMj00S1jfgbPwYq2RfzIiIiWLhwIdasWQM9Pb1268P3VJZkZ2ejsrKS3IbwfP/W+c5Pdqo/grdv38LT0xO+vr6orKyEpaUl7OzsMHHixB++HmtqalBcXPzTMuWNg4GtkSmvqqoiLSMSExNJ64iysjJ06dIFysrKGD58OIYPHw4tLS0MHz4cmpqa36VcUltbi5s3b+LgwYOgUCgCFyxsK5SXl5MksKioKDx58oRUBBMREYGKigpZza2lpQVtbW2oqqp2SjI9i8WCm5sbduzYAVNTU1y+fLlVynEMBgPJycmIj48nW2JiIioqKiAqKgpNTU0OWxRtbe1Ou2A+fvw4HB0dsWDBAnh4eHxXEK2iogJxcXGIjo5GdHQ0oqKiyOSJqqoqDA0NYWBgAD09Pejq6vKdGlNbYv/+/XB2doaHhwdWr179zc/n5ubi1atXCA0NxevXr5GcnAwWi4WhQ4di7NixZOtIhRutVftqDqWlpXj27BkCAgJw7949fP78GcbGxrCyssKcOXPahGTyPdDU1MTs2bNx6NAhrn4vi8XC7du34ej4f+xdd1gU19s9dERB6aB0kKqiIIpiNLHF2I2iJiqoiSiKGiuWaIwlir0AGhBFAU0sMZYkxqBJDIiJSpHeli5IX+qy9fvD38w3u+zSXNgF9jzPPDuzZebund2Ze9/3vOfsREFBAZYvX46DBw9KHTnw7du3GDlyJOzs7PDbb79J5f0rPz8fpqam+PPPP8WiFiJulJWVYenSpfj777/h5+eHjRs3dtmxa2pqMHToULi5ueHatWtt+gyRlDl//jwKCgowceLELqn6njZtGoyMjHDx4sVOO0ZHUVtbS5K8Hj9+jKSkJCgrK8PV1RWTJk3C1KlT4eLi0qH/x8aNG3H16lUkJCTAxMSkE1ovWdTW1iIhIYEkef39998oLS0lSTHOzs4kyYuqusPj8fDtt9/i22+/xYYNG3Dy5EmpvP5ICrW1tXyEo1evXiEuLg4NDQ1QVFSEgoIC2Gw2PvroI6xduxYffPBBr1b/7ijq6+tx4sQJHD9+HDweD46OjlBRUUFSUhJZXCqoIEXMt3uDNVVb8Pz5cxw6dIgke3377beYNGlSmz4rWOgmSKwzMTHh63d7e/sOq1k1zIEAACAASURBVHcRSlFEvJJQ4Kcq8RcUFPDFz1RVVUmFKMJa0cjIiFTJMTExgb6+vkQUU8rLy+Hv7w9/f38wGAx88cUX2LJli9TcZ9rqMCFI5hJURBP22JVEltbAZDJx9+5d0hbb1tYWa9aswZdfftllNqKCqKysxNu3b/lIW8KUoYi4FoH+/fs3K+CmErsMDQ2hr68vNfcaOp2OH3/8sZld2pIlSyTW98C7a01ZWRnKysr4SESChKKSkpJmv381NbVmJDrq+SCUusQlYvC+EKXqtW7dOgwbNkzSzUNNTQ2Ki4tRVlZG5qiI9ZKSEvK8lJSU8BXWA+/yhQYGBqTrkKDVInEupKVoKiUlBVevXkVwcDDq6uo6RbVZhpZRVFSE4OBgBAcH4+3bt5gxYwbWrl2LqVOnys6BDFIJGemrh+L169dYtWoV4uLisHnzZuzdu7dbsK97A1gsFvz9/bF//3706dMHBw8exPLly3uUdZ4kIEwOl2DrUytcSktL+awlqQNvQjVMV1eXtILT1dWFrq4uDA0NkZubi2PHjiEiIgL29vbYtm0blixZIhUDcklCkDQjjJhXVVWFgoIC1NbW8n22LRUsxHNdifLycnJQnZaWhpEjR2LVqlX47LPPOpwUFTc6KsMtLNgirN+l2dKTwWDg1q1buHDhAqKjo2Fvb4+1a9fCw8Oj086PqP6mEsQKCgrAYrHIz7QW2LKwsICxsTGUlJSEHjM3NxevX78mK2FTUlKQnp4OJpMJRUVFWFpakiQw4nHw4MFC98flcnH79m18++23SElJwYwZM7B79264urp2Sn91R/z333/48ssvkZaWhg8//BB6enqIi4sjldgIpareWvn977//YunSpaDT6QgJCeGzIewICLUIYqHaeGhqajZLBPQWVbDff/8dS5YsgZGREW7fvt0hK6SysjKSBPbixQu8fPkSb9++BQBYWFiQBDDisauqEyWB3bt3w8/PD5cvX8ayZcva9dna2lr8+++/iIqKIlVNGAwGDAwMMHLkSDLZPXr0aJHXcWnH+6h9CUNjYyMiIyNx8+ZN3L17FzU1NbC3t4e7uzs+++wz2NjYiKHVraOiogK6urq4f/8+ZsyY0SnHYLFYuHz5Mvbu3QsmkwlfX19s2LBBqpQiY2NjMW7cOGzatEkk+Y1Qkuls/Prrrzh06BAmTZqEjz76CGPGjMG1a9ewbt06VFVVSV2S/enTp/jss8+gpKSEGzduYNSoUV3ehvv372P27Nl4/PgxJk6cKPJ9r169wpkzZ/DDDz+gb9++WLhwIb766ivY2dl1STtdXV3h5uaGEydOdMnxWgKHw0F8fDxp2fj06VMwmUxYWFhg8uTJmDx5MqZOnfreyiyPHj3CtGnTEB4ejs8//1xMrZccmEwmXr9+TZLH//33X6SlpYHH48HU1BSurq4YPXo0Ro0aBScnJ5HXubq6OixduhQPHz7EhQsXsHz58q79IlKGqqoqPnLXq1evkJaWBi6Xy2eFbm5ujujoaPz000+YNm0aAgICYGZmJunmdxtwOBzk5eUhOTkZ//33H3777TckJCSAzWYDeKccZGNjwze3GDZsmFQWIUoDEhIScOjQIdy8eRNjx47Fjh07RM778vLykJaWhuTkZKSmpuL169dISUlBXV0dWbxGLaJycHCAjY1Nm8bNguQiUWo5+fn55LkG/j8GI0yZSxx2i52FvLw8nDx5EiEhIVBVVYWPjw/Wr1/fZcSDlgqu22Lz11IBqrGxMTQ0NLrke7wv3rx5g6CgIAQGBqKyshKffPIJNm7c2GkEC2FxRmF9X1hYCCaTyfdZUZZy1HPRnmJUSYMowo6IiIC8vHyXFGEzGAySrFVaWkqShQj3GWK9rKysmb2isrIymT8yNDTkIxFRXWkGDRokNXmE1kAUkAQFBYFGo3Wpqhf1vyDq+lNVVdWsKBvgj71Tf/+C6yYmJt3iXNTW1uLOnTsICwtDZGQkrK2tsXLlSqxYsUI2dulCREVF4ezZs/j555+hqamJFStWYM2aNbIxugxSDxnpqweDy+UiPDwcmzdvhqqqKk6fPo0FCxZIulky/A+EzPipU6fg4OCAU6dOYcKECZJuVo8HUQUmjBBGVMYQ1QFVVVV8n1VVVYWuri769+9PToi1tbUxdepUfPzxx2TFBkEUk/loN4eoQXxbqsI0NTVbHLwT63p6emLte2HqXz4+Phg6dKjYjtGZYDAYQmW8hZEjBQlL1MojghhJkCCp65IM4KSlpeH8+fMICQkhAwOSOj9cLpesMiKqSokADdXWkyBfAICcnBypgkcEBYj+pRJRDQ0NMWDAALDZbOTn5yM5OZmsmE1JSUFSUhKampqgpKQEY2PjZoQZW1tbKCgogMfj4cGDBzh8+DBiYmLg5uYGX1/f9ybw9BRwuVxcvHgRW7ZsgaGhIS5cuIAxY8YgJSUFiYmJpCJbUlISiouLAQBaWlqkKtjQoUMxZMgQ2NvbS02VqjjR2NiIHTt24OzZs1i2bBnOnz8v1mrLwsJCPqJjUlISUlNTSaKjtbU1mTQg+rsnku4KCgqwYMECpKWlITQ0FPPmzXvvfQpLPKampoLH4zVTOnB2doa9vX2P6de9e/fi0KFDCAkJea8ENIPBwMuXL/HPP/8gOjoa0dHRqK6uhoaGBtzc3EhLyJEjR0q0Crm9INS+aDSaWO/nDAYDf/zxB27fvo379++jsrISw4cPx9y5czF37txOteWIjIzElClTUFxc3OlWk3V1dQgICMB3330HdXV17N27FytXrpSaeUBYWBg8PT3xww8/YOHCheTzhG2htrZ2m5Tw3hcxMTEYO3YsFBQUSCL1wIEDoaysjNDQUIwaNUoq+oxQt9y2bRs++eQThIaGSlR9ctasWaDRaIiPj+dLktfU1OCHH36Av78/EhMTJWq1Ym5uDm9vb2zfvr1Lj0uARqORJK8//vgD1dXVMDAwwAcffIDJkydj+vTpYlUcLC8vx7BhwzBx4kSEh4eLbb9dBQ6Hg9TUVJIU/uLFCyQkJIDJZEJDQwMjR47kI3m19RpKo9EwZ84clJSU4Pbt2xg/fnwnfxPpAYfDQXp6OmkjHxcXh/j4eFJtxczMjLRnHD58OBwdHcmE0c2bN+Hj4wN5eXn4+fnBw8NDgt9E+kEdzxJzYUIpTUFBAfLy8uBwOBgxYgTWrFmDMWPGdFhBqreB6nAwevRo7Nq1C7NmzQKXy0VOTg5SUlKQmpqKlJQUpKSkIC0tjSzqNDAwIAvRiDmag4ODUJV5Op1OxmCJ2BRhAUjEqIqLi5vFY3V1dfmUiYj4CWG3ZWBgACMjI6ki37cFWVlZOHbsGC5fvgxtbW2sXr0amzZtEgtRh0pcIcgrROyPGv8WJLOoqamR8W1ChYiICRKxKkIpqrsWvgiCSO7fuXMHOjo68PT07JBtGovFIvtdmPoQdV2wKF1JSYl0xSBIRESsUNh6T5ir19bW4vr167hw4QLi4uJgZ2cHT09PeHl5dXj83djY2CJpiLourEi6rbkHaSSPdgSCql5EAcn7xtUbGhpQXl5OqqCVl5ejvLyczMkR1yHidSqpUUFBgU+Egfq/0NPTg66uLp9ogzTMIcUBIv907do1sFgszJ49W6bq1cUg5tjnzp1DUlISOcdetmxZtxtfyNB7ISN99QKUlJRg+/btCA8Px4wZM+Dv7w9TU1NJN0uG/yE9PR1bt27FgwcPMHPmTJw+fbpDqg4ydA6EebAT6+np6UhNTUVpaSnk5OQgeDltqdJAcLstNpO9CWw2my8QIVhh8/btW3JiUFZWxkcQo04OCOKMMPU2IoDR1kFbZWUlLl++jPPnz4NGo5GWC3PmzOkxEwwiOCEoEU4ELIjXBeXCCYKY4GSMGpggvO61tLQ6pe1VVVW4dOkS3/nZsGEDZs2aJXUTcSaTSZLAiouLUVRURJIeqYE4wd82QTwdNGgQXxUZ8ZtubGwkq2EJ25CcnBzweDz06dMH9vb2fDaRDQ0NuHLlCn755Rc4Ojpi06ZNMvXC/6GoqAg+Pj64e/culi5dilOnTjWrsq2urkZSUhIf+S4+Ph7l5eUA/l+tiiDTODg4YOjQoT1CVen27dvw8vKCnp4erl27hhEjRnTasahER2qCh1BKUFZWhpWVFR/J0cXFpdOJHp0NBoOB9evXIyQkBNu3b8d3330n9msZnU5HYmKiUAWK/v37Y8iQISQJzNnZuVsnzb755hscOHAAAQEB8Pb2Fss+uVwukpOT+SwhCwsLoaioiKFDh2Ls2LFwdXWFq6srrKysxHLMzkBVVRUsLS3h4+OD/fv3d8oxWCwW/vrrL9y5cwd3797FmzdvYG5uThLA3NzcxHrvOXbsGE6dOoU3b96IbZ+toby8HMePH8fp06dhbm6O/fv3S40d/Nq1axEWFoaYmBgMGTIEtbW1WLp0Ke7duwc3NzdERUV1ehuysrIwePBgvufk5ORIKzNVVVWMHz8eU6ZMwcKFCyViY0Sn07Fy5Urcu3cPBw8exPbt2yV+/mg0GhwcHHDgwAFs3boVqampuHDhAi5dugQ2mw13d3ds2rSpU+/DraFv374ICAjoMlWnkpIS/PPPP4iMjMRvv/2GgoIC9OvXD66urqSal7Ozc6cd393dHc+fP8fr16+7hR01VVk1OjoaMTExqK+vJxVsCdXK97nPR0dH49NPP4WBgQHu3bvXo+ONLZGOiAIFKpHe1dVVqP0vjUbD2rVr8ejRI5Fzjd4Mwh6QRqPxFTsRRTdUVWAOh4OHDx8iPz8fixcvxv79+2UqDO1AYmIiDhw4gFu3bsHW1hazZ8+GpqYm2ffx8fGor68H0PL8VljsVPCxqKgIdDqd7/ii1Iqo8VJTU1OhBLLujNjYWJw+fRoRERGwsLCAj48P1qxZAxUVFZGfYbPZZAyUIE0Q29S4HUEqohZ1Kisrt1hgSCV49bS+FoWqqipcuXIFFy5cQHp6OsaPH49169Zh3rx5fGS2qqoqsq8JEktpaSlJYKGSuyoqKviO0adPH774qKh1fX39XnUPePHiBS5evIhr166By+Vi0aJFWL16NUaPHt3svTU1NXj79i1JGiIIc1QiEfU/wWAw+D6vra1NEoWoxczC1nuDsjyBwsJCXL58GRcvXkRBQQEmTJiAVatWYf78+UKvQ3V1dWQ/C/a7sG3ivkFAVVUVOjo6ZG6AeKRaLRLP6+rqdtu4U3tB2JkSxEdbW1ssX74cX3zxhdRYrvYGxMbG4vvvv+dTGly7dm2nFirKIENnQUb66kX466+/sHbtWuTl5ZEWHsrKypJulgz/Q2RkJDZv3oy0tDR4e3tj//793UaCt7cjJSUFR44cwfXr12FoaIhFixbBxcWFnHwTE3Cq97tgoKNPnz7kZFtXVxc6OjrQ0dGBvr4+uU4senp63UYauyvA4/FE9jWVHEYQxwQnHv369WuVHEbtf3l5ebIK5s6dO9DV1YWHh0eHqsC6KwhSnrDqNaJqR1T1GiGBTZ3QCaqI6enpkf3dXkIdl8vFw4cP4e/vj4cPH8LKygpfffUVPD09u5XyCoGWiKdtUcczNDSEuro6eDweOBwOqquryeAUj8eDsrIyjIyMwOFwkJ+fDz09PXzxxRfYvn277B6Ed9ZK3t7e4HA4ba6+J5IU1ATF69evyUpoYcHyIUOGdDuSUkFBATw8PBAdHY1du3Zh7969XRqYYTKZyMzM5Eu6tWYROWLEiG53HQgKCsL69esxadIkREREdHqCuba2FvHx8YiNjUVsbCzi4uKQmpoKNpsNDQ0NODo6wsnJCU5OThg+fDjs7Oy6TYW3n58fdu7cCX9/f6xdu7ZTjkEk1wk7yFevXoHBYKB///5wcXEhE+sffPCBVKkB+vn54cCBA8jKyuqSa1FycjJu3ryJmzdvIiUlBdra2pg+fTpmzZqF6dOnv/f/dMmSJaiursYvv/wipha3HXl5edizZw/Cw8MxatQo+Pn5SVzNmcViYcqUKcjPz8cPP/yApUuXIjc3FywWC3JycsjLy+v0MWxNTU2r4wo5OTn069cPqampGDRoUKe2RxCvXr3CwoULwWQy8cMPP8DNza1Lj98Svv76a5w4cQIODg549eoV7Ozs4O3tDQ8PD4mP1erq6qCuro5ffvkF06dP77RjPH/+nFTzio2NhYKCAhwdHUmS14QJE7rkXhQUFARvb288fvwYH374Yacfr70QtM5+/vw5ysvLSTISlcjt4uLSIrmgrbh48SLWrVuHWbNm4cqVK91unCUKVVVVSExMJMfxSUlJSEpKQnV1NQBg0KBBfJZ1hNpvazFWFouFwMBA7N69GxYWFvj+++8xZsyYrvhKUgcWi4Xs7GxSNSo1NRWpqalIS0sjYzb6+vqkarW9vT3s7e3h6OgIbW1tREZGYufOnXj16hUWLFiAQ4cONSMXy9AcjY2NSE9Px+PHj3Hp0iWkpKRAVVUVbDYbbDYb8vLyMDMzg52dHWxtbTFo0CAYGhpCTU0N1dXVQgldBQUFzVTjW7L7I14zNTXtdQVnUVFR8PPzw4MHD+Dk5IQvvvgC48ePJ4lFJSUlzUgsRHyTKC4joKSkRMaPBdW4CCUcItbZmwhFreHJkycIDAzEgwcPIC8vj1GjRmHIkCFQVFQkY5hUUhH1tw0AAwYMIGP1gopDgkpEvYVA1xZUV1cjIiICFy5cQFJSEszNzTFp0iTY29ujrq6uGamLWBe0tezXrx/Z38Q5IPInVHIXUZDcXWIVXQEOh4M///yTzGeoqanh448/xtSpU6GsrIyqqqpmseeqqiqhhF2qKlprQgcysQN+8Hg8/Pnnn7h8+TJu374NeXl5LFq0CKtWrYKrq6ukm9dr0NTUhHv37iEoKAiRkZGwsbHBihUr3ktpUAYZpAEy0lcvA4vFwsmTJ7Fv3z5YW1uTtkUySAfYbDYuXbqEPXv2gMPhYM+ePVi3bl2PURHq6UhPT8fBgwdx/fp1WFlZYffu3fjss8+Enr+mpiaRpCRiYkmd6DQ0NPB9XllZmY+IREziiW3qBEhHRwfa2tqyic7/wGAwUFlZ2aLEM7EtGLwC+ANYmpqaKC0tRWZmJphMJmlbNGHCBGhpaWHQoEFSldSVFFojLrW1v1uaQGpqasLY2JiPEJmVlYVz587h4sWLUFJSgqenJ7Zu3dpjyXlEP7dEDhMmYa6oqAhlZWVwOBw0NTWRz/fr1w/W1taws7PDsGHDMHbsWAwdOlTiCcauRnV1Nb755hv4+/vjk08+QWBgYIcUSPLy8pCWlkZaFhKPNTU1AN4lNRwcHGBnZ4chQ4bAxsYGdnZ2Uk0GI2ywtm/fjg8++ABXrlzp8kS9IIqLi/lsOBMTE5GSkoLGxkYoKCjA0tISQ4cOJZNzw4YNg4WFhVQnHF69eoX58+eDx+Ph9u3bGDlyZJcen8ViISMjgy+RHBsbi8bGRlIphKpqMXLkSBgaGnZpG9sKgvh17tw5rFu3rtOPx2azkZCQQBLAoqOjQaPRoKCgABsbGzg7O5MqK5K01GQwGLC2tsasWbMQEBDQpcem0Wi4f/8+bt68iZiYGKioqGDSpElwd3fH7NmzOzSOsre3x6effoqDBw92QovbhpcvX8LX1xdPnjzB5MmTcfz4cYlWipaUlGDo0KGoq6sjE7vAu4ThoUOHsG3btk5vg4qKSrPEDRVycnK4fPkyPD09xXrcmJgYPHnyBLt37xb6OkGuHTduHK5duyY1ipxpaWkICgrC5cuXQafTYWlpieDgYKkiG9FoNFhaWuLFixdiuzc1NjYiJiYGjx8/xuPHj/Hy5UvweDw4OTlh0qRJmDx5Mtzc3LrcYiMrKwtOTk5Yv349Dh061KXHFob8/HzExcUhNjYWr169wosXL1BaWgoFBQXY2dlh5MiRGDlyJFxcXODo6CgWghcVHA4Hu3fvxtGjRztNkbQrQIxxiAICopiAUEvu378/rKys+AoJOqrcGx0djdWrV4NGo2H79u29phCXKNQQVO4ixucASKtxCwuLVhWSnz9/jt27d5P3Vz8/Pzg5OXX115J6EKp0RL8TfZ+enk4WiykqKsLQ0BBmZmbo06cP5OTkwGQyydikoGqRtrY2aftHtVbU09ODkZER9PT0MGjQIKirq0viK0sFCGs5aiymsrISUVFR+Ouvv1BRUQENDQ2oqamhoqJCaPyrpdgXdV1fX1+q57BdBWF2foLbFRUVoNFozawsgbbHHAcOHAgjI6Necd1uK5hMJioqKlBRUSHSyi87Oxs5OTmorq5u1vfAu2I9av6CUD4TzHkQ5C5VVVUJfFPpBuH6QCxlZWV82zQaDYmJiSgsLCTJvdTibABQV1cnSXNEXwueC+p2b1JFExcKCgoQGhqK0NBQ0Gg0jBo1CitXrsRnn30mE3foQtBoNAQFBeHSpUug0+mYM2eOzEZThh4FGemrlyI7Oxvr1q0jpcRPnjwpk4yUIlRXV+PIkSOkPciJEyc6rXJWBvEjMzMThw4dQkREBIyNjbF9+3asWLHivQKtVKKSqMoL6nZZWRmZzCEgypteFIFGVoXx/ypixISVmMRStwllq8LCQtDp9GYTp759+wqdtBKTKcHJU28OkAHgq2IUlIoWFkQQDJKpq6vzBQR0dHTQt29f5OTk4NmzZ6itrcWECROwYcMGTJo0qcdUo7cHDAaDz0aSsPIsLS1FYWEhaDQasrOzm5FNCSgoKJDVdQYGBiThw8HBgbSe1NXV7XEByH/++QerV69GXl4e9u7di61bt4rlO1ID8sRjQkICaaNKJJuoSRBivasTnqLw4sULLFmyBFVVVbh48SLmzJkj6SY1A6F+QU3qEUkPJSUlGBsbN1Ngs7W1lZprxNu3b7F48WL8999/CAoKwpIlSyTaHhaLhdTUVCQkJOD169fk49u3bwG8S94NGzYMjo6OcHR0xLBhw2BjYyMVBPSjR49ix44dOHPmDNavX9/lx5dWNbCQkBCsWbMGiYmJsLW17bLjUlFWVobffvsNN2/exKNHj8DhcODq6gp3d3fMnz8fRkZGre6joaEBGhoa+PHHHzF//vwuaHXLiIyMhK+vL+Lj4zF//nz4+fnB3Ny8S9vA4/Fw9OhR7Ny5E3JycnxjVTk5OTg4OCAxMbHT22FgYEBeIwShpKSEiRMn4uHDh2I9ZmNjI+zt7ZGfn49Hjx5h0qRJ5Gu1tbXw8vLCjz/+KDWkFSaTibt37yIoKAiPHz/GwIEDsXTpUmhra2PXrl14/fo17OzsJNpGKmJiYjB27Fjk5+d3uKiCIMcSSl5RUVFgMBiwsLAglbwmTpwoUZUSNpuNcePGgcViISYmpksTvjweD9nZ2aQCJ6HCWV5eDnl5eVhZWZEEr5EjR8LJyanTxy41NTVYsmQJIiMjERwcjKVLl3bq8cQBDoeDvLw8vjG34FhQkMTu4OAAc3Pz946JUAtIJkyYgAsXLsDa2lpM30x6UF1djezsbD6iEdWSXXC8Tcxnhg8f3iY1nOTkZHz77be4desWxowZg++++07iSpqSBoPBQHp6OpKSkpCQkIDExERkZWWhsLCQtDhTVlYmSRINDQ3N4oRUJXbC+k8YkUtfX1/s5NHuAlFFjILbb968IdUACSgpKYHH44HNZkNHRwejRo2ClZWV0JissbGxVMyVJAkqaU5Yfwu+VlRUxFe4CPDHvgcMGAA6nY7s7GywWCy+Qt1BgwZh0KBBvfZ3LQhheYfWzsPbt2+bxcBVVVVhYGAABQUFlJWVoaamBjo6OhgzZgw++eQTGBkZyUh0LYCqelZeXs5H3qIS7KivCcZu5eXloaWlBRUVFdTX16O6uhpqampwdHTEpEmTYGNjIyPTdRGamprw6NEjhIWF4c6dO1BXV4e7uzu8vb0xfPhwSTev14DL5ZKuPT/99BP09PR6nWuPDL0HMtJXL0dERAS2bNkCADh+/DiWLFnS60ke0oSMjAxs27YN9+7dw8yZM+Hn5wd7e3tJN0uGNiIvLw8nT55EcHAw1NXV4e3tjU2bNnWJSg6XyyUnAFRyEkGWIZ6nPkdUWRJQVVWFtrY230KohhGLlpZWs/f0djx9+hSBgYG4e/cu5OXl4eLiAicnJ8jLyzeTqy4rK2tmN6miosJHDBPsc+q5IF7rzZLhoqr6hD0nLAinrKwMbW3tNhMiDQwMJJ4Q7CqUl5fj9OnTCAgIAJPJhKurK6ysrFBYWIi8vDzSqlYwcExASUkJenp6MDY2ho6OTov9q6en1y1ULQnF1G+++Qb29vYIDg6Gs7NzpxxLsDqbWM/NzQWXy4WioiJMTEyakcE6qj7wvmhsbMSOHTtw9uxZLFu2DAEBAVJPYm1sbERKSgpSU1NJaxmiv1ksFp+9ib29PWxsbEiLGUnIfbPZbPj6+uLUqVNYs2YNTp06JXVBauJ3K0iwYzAYQhOqLi4uElGzO3z4MHbv3i0x4hcV0qIGxuFw4OjoCHt7e9y4caNTjtEe1NfX48mTJ7h58ybu3r2Lmpoa2Nvbw93dHQsXLhQ5J/rvv/8wevRoZGZmwsrKqotbLRw8Hg+3bt3Czp07UVBQgOXLl+PgwYPQ1dVt9XMFBQUdUpckUFdXBw8PD9y9e7dZUoaKpKQkODg4dPg4bcHQoUORlJTU7Hk5OTmoqakhLS2tTcS+9mDr1q04c+YMOBwOBgwYgKSkJAwcOBCpqalYsGABysrKEB4ejqlTp4r1uO1FUVERwsPD4e/vjzdv3mDixInw8vLCvHnzoKioSP4/7ezscPPmTYm2lYq7d+9i7ty5aGxsbHOyiEryioqKwt9//43a2loYGhpi3LhxmDx5MqZMmdLl5MiWsGvXLpw5cwaxsbGwsbHptONwOBxyLELcP2NiYlBRUcF3TyDuo2PHju3y+XdWVhZmz54NOp2On3/+GS4uLl16/NbAZrORk5NDko2oRRUMBoNUfSVsGQnVz7x3FQAAIABJREFUV0tLy04pWCGs4tlsNo4ePdomq3hph7CCFUJJCngXz7C0tOQrpLCwsICDg0OHksq5ubk4fPgwQkJCYG9vjz179sDd3V3cX0vqQMQ53rx5g8TERKSnpyM9PR25ubkoLS1FVVVVsxgeASUlJWhoaEBbWxu6urooLS1FVlYWdHV1MXfuXEyfPh1GRkYwNDTsVfENAo2Nja2q/hPbgqQWFRUVaGlptajCpaysjL/++guhoaGoqqrCwoUL8fXXX/dIsqco8Hg8kWQVYUpExCKseJkai9bV1RUaGyWs/HR0dCAvL89HoLewsMCqVauwcuXKVsfePQUNDQ18qk+iyEPU1wRj03Jyci3GoqmxamI9PT0d4eHhCAsLg5KSEhYvXozVq1f3WjVGcZAYAeEKgKKsFQsKCnD79m38+OOPaGpqwtSpU+Hh4UHOKWToGqSkpODq1au4dOkSKioqyLndnDlzZETHLkR1dTWuXLmCM2fOICcnB25ubti4caPs/yBDj4aM9CUDWXUWEBAANzc3nDt3DsOGDZN0s2Sg4PHjx9i6dSsSExOxcuVKfPvtt1JrmyNDc5SWliIwMBCnT5+GoqIifHx8sGHDBmhpaUm6aXyor68niWCCVSWVlZXNtisqKpoFmYRNCgWJYcKIYz2xoqSiogIhISG4cOECcnNzMWXKFHz11VeYNm0aX8K2sbGxmZ0nVdWKGhwhzoNgIERFRUUkIUxHRwdaWlrNJuS91XaysbERlZWV+OWXX3D+/HnEx8fD1NQUrq6u0NPTQ0lJCd8kXNAKEQCphNeSUl53IzO1hLq6OoSEhODYsWMoLy/HwoULsWfPHgwePBjAu2tcSkoK4uLiEB8fTwajy8rKyABpnz59oKKiAjk5ObBYLNTX1/P1q7y8PKl4p6OjAwMDAz5JccFtSauTZmRkYM2aNfjnn3+wdu1afPfdd12mCFVfX08G/VNTU8n19PR0sqJbX18fdnZ2sLGxgbW1NWxsbDB48GCYm5t3evXwr7/+ii+//BLKysoIDQ2VKhuqtoLNZiM/P78Z6S4hIQF1dXUA3l0HBJUKxKUI0Rru3r2L5cuXw8LCAjdu3IClpWWnHu99wWQykZqaitevX5OqYAkJCSgtLQUADBw4kE8VbOjQoV2iCnbs2DH4+vriyJEj2L59e6ceq71oqxrYuHHjxEpAvHv3LubNm4fo6GiMGTNGbPt9XzAYDERGRuLnn3/GvXv3UFZWBhsbG8yePRuzZs3C2LFjyWT9lStX4O3tjbq6OqlLYrJYLFy+fBl79+4Fk8mEr68vNmzYIFK18caNG9i6dStiYmI6ZJ2bmZmJmTNnIisrq0XCl5KSEnbs2IH9+/e3+xjtwccff4xHjx41e15OTg6hoaFiJ0P8+++/GDt2LPndlZSUMHz4cHh7e8PHxwcjR47E9evXMXDgQLEet62gVhzfuXMHOjo68PT0xJo1a2BmZtbs/ffu3cPcuXPx8uVLqUmeBQcHY9u2bc2KKqjgcDiIj48nSV7//PMP6HQ6DAwM8MEHH5B2jZ1NOuwooqKi8OGHHyIwMBBeXl5i2y+bzUZ6ejqfdXJcXBwaGhpIkrSzszO5ODk5SdxK548//sCiRYtgZmaGu3fvSrQyvqmpCWlpaSSxKzU1FampqcjIyACTyYScnBxMTU1ha2tLWnoPGTIE9vb2XRJ7oNFoWLduHX7//XcsXboUp06d6lYFctXV1cjKykJmZiYyMzORkZGBjIwMpKWloba2FgCgo6MDOzs7vsXW1hampqZiaUNRURGOHj2K77//HmZmZti1axeWLl0qdff29qAlslFeXh5yc3PJ2A8xr6NCTk4Offr0Qf/+/aGlpQUzMzPY2trC1tYWZmZmfOSjzMxMHDhwANeuXYO1tTW++eYbuLu7d+v+E4aamhoyniZILBJ8nlCVp46J5OXlSaVywbiDvr4+qdhPvNaSBdfbt29x/vx5kmy+YsUK+Pr6SmycIU4I/nZbU4NqzX1CFGFFcGmPA8WbN28QFhbWjED/6aefdlsVejabjcrKyhYXYcQuwVi9goKC0Hi8IHlL8D1t6fuSkhJcuXIFwcHByM7OhrOzM7y8vPD555/3mALlqqoqvj5vaZtKqiOsdAn06dOHr6+FkRgFz01bbP+qqqpw8+ZNBAYGIiEhAXZ2dvD09OxVREdpAJ1Ox48//oirV68iOjoaxsbG+Pzzz+Ht7S22sZEMbcOrV68QFBSEsLAwKCsrY9GiRdiwYYPUzjdlkEGckJG+ZCDx4sUL+Pj4IDY2FuvWrcO+fft6LSlAGkFUiPv6+uLt27dYv349du3aJfN87kaoqanB+fPncfToUTCZTKxcubLbBwCI6iHqRJO6TV0IwlJVVVWz/fTt21ckKYxKHNPS0iKr6rS0tLpFwIrL5eLXX3/F2bNnERkZCWtra2zYsAEeHh4dngDT6fR2ST1XVFQ0CxoqKiq2qiBG7X9i6Wly83FxcTh16hSuXbsGc3Nz+Pj4YM2aNaR6DoPBaLPVZFlZGSorK/n2r6Cg0MzWU1DBjUqMbOukXhJgMpn44YcfcOjQIWRlZWH+/Pn45ptvRE6aWCwWCgoKyMpvKoEmJycHPB4PCgoKpKS4pqYm1NXVSZJcTU0NiouLUVVVhdLS0mYBk9bId9RtfX19sQf6eDwewsLCsGnTJgwYMADnz5+XqFIIl8tFbm6uUDJYSUkJgHcJbzMzMz4imLW1NQYPHgwjIyOxkZVKS0vh5eWFe/fuYf369Th69KjUKVJ1FG/evGmmvpacnIzi4mIAgIaGBgYPHsxHBCNUwsRJAM3Ly4O7uzvS09MREhKCBQsWiG3fXYWWVMEIJTtqHzo7O8PW1las/+ULFy5g3bp12LZtG44cOSK2/YobTU1NiI2NxfPnzxETE4OYmBgUFhZCQUEBQ4YMwdixYzFq1Ci4uLi8dx+NGzcOioqK+Ouvv8T3BcQIDoeDZ8+e4d69e7h37x4yMjKgo6OD6dOnY9asWXjx4gV+/fXXLrEr7Cjq6uoQEBCA7777Durq6ti7dy9WrlzJd41gsViwtrZGbm4ubGxs8OzZs3YXjFRWVmLr1q0IDQ2FgoKCSGVOADA2NkZeXl6nklaXL1+O8PBwvvt5Z9k6NjU1YdiwYcjOzuY7noKCAuTk5LB161YcOHBAIsR8Ijl24cIF5OXlYdKkSfDy8sLcuXNbHWe7uLjA1NQUt27d6qLWtoyDBw/i6tWryMjIIJ8jSF5RUVGIjo7GH3/8gerqaujr62P8+PFwc3PDuHHjOk0pVZyg0+kYPnw4HB0d8fPPP3d4P5WVlYiPjydJzwkJCUhOTgaLxULfvn3h6OgIJycnjBgxAk5OTnBwcJC6OVdQUBB8fHzw6aef4vLly11mMV5TU4PMzMxm4y7CllGY8m17LAPFDRaLhRMnTmD//v2wtLTEhQsX4Obm1uXtaAvq6upIUhdB8MrIyEBmZiZpM0/MHYg5g62tLamA21lFOGVlZfDz80NgYCB0dXWxb98+eHh4SCVpg8Vi8cUGSkpKyLiBsHUmk0l+Vk5OjpwfsVgs8l6lpKQEAwMDmJiYYPDgwRgyZAhGjBgBBweHNqk5Z2Vl4eDBg4iIiIClpSX27t2LxYsXd4vYWW1tLR9RixrTIp4XjHNR+xRo7ligp6fHF+fS09ODgYEBSeTS1dV977FPWloaTpw4gbCwMGhpaeGrr77CmjVrpDauQ7WrbIuNn7BYjDACV0vkrUGDBnVKjkkUgV7aSBZNTU0tErcI0hAROyeWmpqaZvvq06cPX4xWlPoWNcYobpVyar///PPP6Nu3LxYuXIi1a9fC0dFRrMcSF1gsVquELVHPCabPFRQUmuUnBM8J0fdUYpc4yfvEObh69Spu3boFJSUlzJkzBx4eHpg8ebLYjiNDy+ByuXj27BnCwsIQHh4OLpeLWbNmwcvLC5MmTZI5anUhGAwGbty4gVOnTiE+Pp4koC5ZsqTLirRlkEEaICN9ycAHIoG5bds2cDgc7NmzB+vXr+8Wk8PeAiaTifPnz2Pfvn1QVFTE1q1bsWnTJpk0aDeCMNWcvXv3So0FTVegJUu+9kocCwsotLa0p1pMnMjMzIS/vz9CQkKgoKCA5cuXY9OmTUKr+cUNQVnptshLC1O5amufUwM+2traUk/4yMrKwrFjx3D58mUYGhpi8+bNWLVqVbsn5Ww2m48IRhDFiOeolqqEehuLxeLbB0HIo5IdqY9EIIcaTOhKxTwul4tffvkF3377LWJjYzFjxgzs3r0brq6ubd4HkcAhqsbT09PJbSKw1a9fPzLBYGVlRVbWamhoQEFBoV02DED7SGLtsbkoLi6Gr68vwsLC4O7ujoCAAKmrpmtqakJWVhaf/UpycjKSkpJAp9MBvLM6NTIy4lOvoi4dwdWrV+Hj4wMTExOEhYVhxIgR4vxaUoWysjLSIpJQm0hLS0N+fj6Ad/1rY2MDW1tb2NjYkKS7wYMHd1j5k8FgwNfXF+fOncP69etx/PhxqUsStxeEKlhKSgoSExORkpKCpKQk5OTkgMvlQlVVlfyNErZMDg4OMDU17fB9PTw8HCtWrMDq1atx7ty5bhOYKywsJAlgz58/R1xcHBgMBvr16wcnJyeMHDkSLi4uGDlyZLvGmLGxsXBxccGNGzcwf/78TvwG4gGNRsP9+/fx4MED/P3332Cz2dDS0sK2bdswb948qbbSKS8vx/Hjx3H69GmYm5tj//79WLBgAeTk5BAQEIANGzaAy+VCSUkJQ4cOxdOnTzsUsIyKisKXX36JrKysZkk7Kp4/f47Ro0e/z1dqEdu2bcO5c+fIMX1n2jr6+vri5MmTIolud+7cwdy5czu8/6ysLHKM21ZERUXh7NmzfMmxjRs3irQqFYbbt2/D3d0dr1+/xpAhQzrSdLFi48aNePXqFb7//ntER0cjMjISkZGRqKqqgq6uLkaPHk1aNjo5OXWb6yuBJUuWIDIyEq9fv24T2YLH4yE7O5skeBGPBQUFAABdXV0MHz6cJJI5OTnB2tpaKsksBJhMJnx8fBASEoJDhw5hx44dnXKcqqqqZsSulJQUslBEWVkZVlZWzRRW7e3tu4yA1hqePn2KdevWITs7G9u3b8euXbskHqdjMpkoLCxsVoBDLcIBAENDQ6Hj/45aMnYEFRUVOH78OPz9/dG3b1/s3LmTrxirK9DU1ISKiooW4yXUbWFkGEKFS0lJCYqKimCz2airq+OzY1RRUYGVlRVZfGNlZUXOCzqi7An8vw3mpUuXYGxsjB07djQjlHclhMWfRMWeWor5Cc7hWyMYdWWsLzo6GseOHcP9+/dhZWWFrVu3wsPDo8t+s3Q6na8fWyoMJWJQhFIfFZqamkLJQsJIK8Qi6WtbSUkJLl++jKCgIOTl5WHixIlYs2YN5syZ06nz4YaGBqEkIarKk7DnBa0TgXfFz4JkIcGCZ2GLJO95eXl5uHTpEi5duoSioiJ8+OGHWLVqFT799NMu+90T11PiPLR0PqivC/vtq6qqNutfQRIXsa2trU2u9+/fv0u+qzAUFhYiIiIC33//PXJycnqkslp3QFFREcLDwxEUFAQajQZnZ2csW7YMy5Ytkzpnn56OjIwMXLp0CcHBwaivr8fs2bPh5eUlIz/K0GshI33JIBSE5WNgYCAcHR3h7+/frmSuDJ2PyspKHD16FGfOnIGJiQkOHjxIJglk6B4gVHMOHDiAvLw8LF68GDt37oSdnZ2kmyaVqK2t5ZvMCZvgCVsXNrFTUVEhJ2uCj8Keoz6KIyhPp9MRGhqKkydPorCwENOnT8fGjRulbkDKYDBaDGK0J6DRr18/vuCFqECG4PNdHUzKy8vDiRMnEBISgr59+2LLli1Yt25dp06eO0LIa2u1ZWuBUV1d3Q4HxXg8Hh48eIDDhw8jJiYGbm5u8PX1xcyZM9/rXlRSUsJHAiOqz7Ozs8lAuZqaGiwtLWFlZcX3aGlpCRMTE3A4HD6FNsLKoby8nKy0Jl4vKSlpdp1QUVEhA5z6+vpClQgJ2wdiOzIyEuvWrUNdXR2OHDmCVatWdYt7cmlpKdLT08m+pvY7EXjX0tIi+9fCwoLvcdCgQS0S5HJzc7F8+XI8e/YMu3btwp49e6Q6uSlu1NbWkuprBBEsNTUVNBqNrEzX1tYmCY5E8odY2nLtCQsLg7e3N5ycnHD9+vUOJ4ukGUwmE5mZmXyJ4OTkZKSmpoLH40FFRQWWlpZwdnYmk8Dtsdv88ccfsWzZMqxcuRKBgYHdsuBFmFXYy5cv0dTUBA0NDQwdOpTPKqwlaXsPDw9ERUUhJSWlW1lwV1ZWwsXFBaqqqigqKgKdToe9vT1mzZqFmTNnYuzYsVJ5bvPy8rBnzx6Eh4dj1KhR2LdvH5YuXYqKigryPUpKShg3bhwePnzYobERi8XCyZMnsXfvXvB4vGaEc2VlZXh7e+P06dPv/X1E4ejRo9i7dy8f6evKlStYtmyZWI8TFxcHFxcXkQQ3eXl59O3bFwkJCTA3N2/3/p8/f44ZM2Zg165d2LJlS4vvra6uxo0bN3D27FkkJyeTiZlly5Z1KGnH4/EwbNgwDB8+HGFhYe3+vDjA5XKRmJiIv/76C8eOHUNpaSlYLBZ0dHQwYcIEfPjhh/joo49gb2/fLcZBonDz5k0sWrQI9+/fx4wZM5q9TtyXiOstYXVO/G8NDQ2bXXM7SqKXFEpKSrBgwQK8fv0a4eHhmD179nvtj8VigUajkQUfGRkZJNGbUEvu378/bG1t4eDgAFtbW9jb28POzg5mZmZSef0G3lm6bdu2DeHh4fjkk09w7ty5Lj3XLakr5+bmkoUwgtbkxGJnZydR69Da2loEBgbi8OHDUFRUhI+PDzZv3iwWlaT6+vo2KXaXlpaitLSUtHEnoKys3EyxmyB0cblcNDU1kepUJSUlyMnJIQuYlJSUYGxszNfXRP+bmpqKbT6Ul5eH7777rlPJXr2BwNVWEAVwfn5+iI6OhrOzMzZs2IAlS5Z06JyKigW1tpSXlzcbywH/HxNqSXWL+vr7xIO6GlwuF48ePUJwcDDu378PdXV1eHp6YvXq1bCxsWnzfjra51VVVUJtV9tTjEz0e3cojCXQ1NSEe/fu4erVq/jtt9+go6ODRYsWwcvLq8NWaR09B8LU/YCOF4R3F+eVhoYG/PTTTwgNDcWff/4JPT09LFu2DF988UW7fvsyvB8aGxtx584dhIaG4vHjx9DV1cXSpUuxcuXKdhXxyPD+4HA4pKvO48ePYWFhgVWrVuGLL77oNCVaGWToLpCRvmRoEQkJCVi/fj2io6OxZMkSnDhxQurUK3o78vPzcejQIVy8eBEuLi44duwYPvjgA0k3S4Z2gMViISIiAkeOHEFmZiYWLFiAnTt3Yvjw4ZJuWo8Am81ulSQm6lFYEIWo3CQmiQMGDMCAAQPatC6Y3CECRoT14/Dhw+Ht7d3hRJC0gKiQbanaimoD2hpZjNrXwh5FvfY+8r1lZWU4deoU/P39oaKigs2bN8PHxwfq6urv0zViRXsU86qq3kn4V1dXN9uPYICktQChsABsVFQU/Pz88Msvv8DR0RGbNm3qcOCzJRAqANQlOTkZycnJ5HcTFmBvLanR1NREEsOoSQCqMpughaqgkhhRqclkMlFaWgpdXV1MnToVVlZWJDlMkCgmzf9zLpeL/Px8ZGRkkKS77Oxs0Gg0ZGdno6GhAcA7gpy5uXkzMhjxqKqqCh6Ph7Nnz8LX1xcjRozA1atXMXjwYAl/Q8mDahVJ/T1nZGSQ6jSamprNEkUWFhawtbXlu8alpaVhwYIFePv2LcLDw/Hxxx9L6mt1Keh0OqkGRqjXJSUl4e3btwDe9R+hBkYkkO3s7IQS4x48eAB3d3d8+umnuHLlisSUEcQJFouFjIwMvHr1CtHR0YiKikJaWhq4XG4zQsLo0aOhp6cH4F3lqo2NDfbs2QNfX18Jf4v2QVNTE4cPH8aqVasQExODBw8e4M6dO8jIyICuri6mTZuGWbNmYdq0aVJ1TweAFy9eYMeOHXj+/DmYTGYzlSoFBQW4u7sjIiKiw+SH7OxsrF69Go8fP4acnByfoqumpiZKS0s77bcfGhqKL7/8EhwOB0pKSpg0aRJ+++03sR6DyWSSto4t2VkqKipiyJAheP78ebuSbnfu3MHixYvBYrFgamoKGo0mNCH96tUrBAUFITw8HIqKili8eLHYLG8iIiKwfPly0Gg0GBsbv/f+WoOgXeOTJ09QUVFBWnJbW1sjICAAI0aMkFpSTnuRm5uLESNGwMPDA6dPn0Zubi55fyHsGTMzM8HhcKCuro6hQ4fC0dGRVPAaOnSoREk04kBcXBzmzZsHJSUl3Llzp13KcgUFBXxFBGlpacjMzEROTg75vxw4cCCpgEoQu+zs7LpNAhZ4N1YODw/H5s2boaqqiu+++w4eHh6dciwWi4WcnByyXwk7xszMTOTn55PzEiMjIz7VKGLdyspK6kjcBNnryJEjkJeXx/r167Fp06YWFVRamv8KPids7tvavJfY7tu3LxgMBurq6pCTk8M3Vk9JSSELkVRVVUlFNMF5pziJXcKQl5eHkydP4vvvv4ehoSF27tzZKtmLiI2JUsIhSHCEvSIx7xUkcCkrK/MVRAmqQVHnu4S9orSNudoLomj3yJEjSEtLw4wZM8jCTSaTSfajoAKRsG3qujByHDUGRi1AFbYtuC5tJDlxoLi4GFevXuVT1PHw8MDUqVPBYDBQXV3dYhxM8HVhcd6+ffsKjXtRY46C54BYesKcURhevHiBy5cv4/r166irq8P06dOxcuVKTJ8+HY2Njaiurib7VnBd8JG6LkiuBd4VggiL8QqL8wqek556Dng8HqKionDlyhXcvHkTjY2N+OSTT7BixQrMmDGj25A1uzsEz0NDQwM++eQTrFy5UnYeJIC8vDyEhITg4sWLKC0txcyZM+Ht7Y0pU6b0mHmoDDK8L2SkLxnahPv375PqFd988w18fHx6lUpDd8DLly+xfft2/Pnnn5g5cyZOnjwpS6h2MxAEoAMHDuDFixdiU82RoeOoq6trkSAmbCJLbIuquiMmqYKT1qamJiQnJyM2NhZqamqYNm0aPD09YW1tTb63pw9gm5qaRJLEWgogiKq4U1ZWFkkUa4lARmzLycmhoqIC586dw5kzZ6CgoAAfHx989dVXGDBggAR66P3R0NDAR7ajkpkEyXjUdUGCk4qKSjPbSW1tbXA4HNLORk9PDwsXLsSKFSugr68PTU3NTk02lJeXIzs7myQoZWVlkeulpaUA3iXMjY2NSVISQVYyNzeHubl5u4jt1OpEwSRDeno6Hj16hOrqamhra0NBQQEVFRXNrguiKhJFEe8GDRokNb89YQQ8YhFUFSCSH+rq6nj06BEqKirw9ddfY+fOnbL7mxB0VLHB0NAQERERePz4Mfbu3Yuvv/66x983RKGiooK0hyQek5OTSQUWDQ0NMtFsa2tLrufl5WHevHmYPn06wsPDe2QQr66uDvHx8XyKYIRiGpUIlpGRgfv37yMjIwOGhoaSbnabUFZWBj09Pfzxxx/N1FMJG8ibN28iJiYGysrKGDduHGbOnIkFCxZIjUJeWVkZTE1NyYSyIOTl5eHt7Q1/f//3Os7NmzexZs0a1NbW8t2bHj16hClTprzXvkXh119/xYwZMyAnJ4d+/fohLS1N7ASPPXv24PDhwy3aWALv+pHL5WLjxo1tVjc7e/YsvvrqK8jJyZHX4SdPnuCjjz4C8M66+ocffkBgYCASEhI6zW6FxWLB3Nwcnp6eOHTokNj2S4DBYODff//F06dP8fTpU8TExKC+vh56enr44IMPMH78eIwfPx7Dhg3DsGHD8Omnn2L//v1ib4ckUFpairi4OKxZswY1NTWwtLREWloaqQhrZmaGIUOGkOSu4cOHw8LCosfda69du4Yvv/wS48ePx/Xr16GpqdnsPdXV1WQxAHWskpGRQfaXMEKMvb09hg0bJhYVJ0kiNjYW3t7eiIuLg7e3Nw4ePPjepJaWxtb5+fmtFgRYW1t3C2JNXV0dAgIC4OfnBxaLhcWLF2PevHlgMBh8ilxlZWV8BThlZWXN5lLq6urQ09ODrq4uWVyjq6sLPT09cl1HRwf6+vrQ0dEhCybYbDYKCwuRk5OD3Nxc8pEociGKB+Tk5DBo0CC+ghaq+nF7LH7Fhfz8fPj5+eHixYvQ0dHB559/DldXV9Dp9BaL7tpib0YlcAna/RGKZ7q6ut3id9YRCFMfevPmDX7//XdERkaioaEBpqamMDY2BpvNJt9TUlICYek16ly/LYV1mpqa3UoBqqPg8Xhk7JROpwtdqqurkZqaioSEBBQVFUFeXh79+vWDnJwcamtrhY7z1NXV20zaEnxd0naVXYmW+r+4uBjPnj1DTEwMSktLoa6uDn19ffTt2xf19fVkDFZY/6upqYkkaLX2nCTtEqUNhH1jSEgIMjMzYW9vDw8PDyxfvrxNVuMyiAcFBQW4du0aLl68iKysLPI8eHp6wsDAQNLN61Vgs9l48OABgoOD8fDhQ+jp6WHlypVYvXo1TExMJN08GWSQOshIXzK0GfX19Th27BgOHz4Me3t7+Pv7w83NTdLNkkEA9+/fx44dO5CZmYnVq1fj66+/lg0Kuxl4PB4ePnyIY8eO4c8//4SzszO2b9+O+fPny8iW3Qj19fUiK5tEEcWqq6tRWVlJWgIIQkNDo0UlMWKyTF00NTXJ9Z5Y/URFRyXCy8rKhKpBUIN0GhoaoNPpyM7OBgC4uLhg5syZGDhwoNCqP2mrpH5ftMfSgbAbKCsraxb8FEZy6tOnT5vk2N/H3qG2tpaPDEYkqXJyclBQUECe/379+pEEMEFCmIWFRbtUG9hsNgICArB7925YWloiKCgIw4YNa7X/qM8Ls20A+nWNAAAgAElEQVToDkSxpqYmFBUVCU1apaamkiph8vLyMDIygrW1dbPqeAcHhx73PxIHGhoaSGUH6pKRkcFHbuRyudDS0sL8+fPJpDShOtCbgtqCIBKqVIvIlJQUkkynpKQEHR0dlJWVwczMDF999RUcHR0xYsSI91KPlHbQ6XQkJiaSJLCoqCjk5OQAeBfAnzFjBtzc3ODs7AwnJyepVbB58eIFRo0ahaysLFhaWop8X3l5OX799Vc8ePAADx8+RG1tLZ8NpJubW4fuNxs3bsTXX3/9XsrYGzZswIULF4QWDxCQk5PD4cOH31uFraKiAlu2bMHVq1ehoKAAHo+HZcuW4fLly++1X1F4+fIlXFxcAABXr14Vu60jQbQSRfgiro2KioqYNGkS5s2bh3nz5rV6vng8Hvbt29eM2KSoqIh58+bB19cXQUFBuHbtGthsNmbNmgUvL69OtW3ft28fAgICUFBQ8N73yvr6esTExJBKXlFRUWAwGDA0NMS4cePg5uaGcePGwcnJqdn/on///jh+/DhWrVr1Xm3oatTW1iIjI4PvXvDq1SsUFxcDePcfGz58OFxcXEhSzfDhw3u8XQiHw8Hu3bvh5+eHDRs24MiRIyguLm5GQCcWgF9hV9A6sK0Wy90JVVVV5P9v3LhxCAgIaLO9VV1dHTn/INSjqI8E2VdZWRmmpqbN5iOWlpYYPHiw1BJuGhsbW5wfFhQUID4+HgUFBeBwOHwEWgKirOmEzXOMjY1Fkge5XC6Ki4vJviZIXQTBq7CwkJz/qampwdzcHGZmZs2IXebm5p06H2lP/KKkpAQ0Go20QhVET7c3ays6GhMqLS0VOX4gVIgsLS3JYrbOjF1IO+rq6oSStIjHlshcxCIMqqqqUFdXB4/HQ21tLZqamqCp+U612dnZGbq6ui0Sunp6vJNAbW1ti2Q5av8LOxei4s3EOFlOTg5aWlowNTWFhYVFm4lbvTnG8L5gMBi4f/8+aaGpoaEBd3d3LFu2DOPGjZN083oNampq8PPPPyMsLAyPHz+GpqYmFixYgNWrV8PJyUnSzet1KCoqQnh4OAIDA1FYWIiJEyfCy8sLc+fO7ZHFmTLIIC7ISF8ytBspKSnYsGEDnjx5giVLluDw4cMwMjKSdLNkoIDD4eDSpUvYt28f6HQ6Nm7ciG3btkmNOogMbUd8fDxOnjyJ69evw9jYGBs3bsSqVaukNtkmg3jA4/FQUlKC0NBQXLp0iawq+fDDD2Fubi6ULEad3AuzSQTeSZYLksL69+8vkjAmjEDWU9HW4GBpaSlSUlLw5s0b8Hg8yMvLi7QP6mjgVV9fv0cQPJlMJpKSknDq1CncunULKioqmDx5MkaNGoWGhoYWpfeFKZyoqKi0WqEpammNrNER1SrBxcTERGigkSBhP336FD4+Pjh48GC7FD+o1hpUi0mq7ST1NWHWk2pqanwWk1Q7gpaWzphIczgcFBQU4MGDBzh06BCqqqowZMgQ8Hg80Gg00oZFUVGRDDQK2kaamZnJxjRCQKfTSRLY06dPERERgcbGRqiqqpI2CgoKCjAyMhL5O+7pCW1RqKurQ1paGtLS0pCSkoKYmBj8888/4HK55LXezMyMVASzsbEhVcK0tLQk3fxOQVFREU6ePIlTp05hzJgxSEtLQ2VlJWmL5+LigpEjR8LZ2RlDhgyRClWCe/fuYc6cOaivr2/zWJnBYCAqKgr379/H7du3UVRUBBMTE0ybNg0zZ87E1KlT2/Td0tLSYGdnBx0dHVy7dq1Dalk5OTmwtrZu0ZaQgJycHIKDg/HFF1+0+ziCuHfvHnx8fEgC0alTp8gihOrqajQ0NKChoQF0Oh11dXVoaGhAXV0dqRRARUNDA59VkZycHHm95nK5oNPpUFVVxcCBA6GiokKqAqipqUFNTQ0aGhpQV1eHuro6ec8iFFuIRdi9ic1mw8nJCampqXz9p6SkBDabDSUlJUyePBmLFi3C3Llz26wy1NTUBA8PD9y6davZvRV4d03lcDhwcHDAmjVrsGzZsi5RKyguLoaZmRmCgoLg6enZrs/W1tbi33//RWRkJKKiovDixQswmUxYWFiQBC83N7dWiSxVVVXQ0tLC77//jqlTp77P1+k0EBa3VJJvcnIyaXOrrKwMKysrODs7w8HBARwOB3v27EFwcDBWrlwp6eZ3Cerr65GdnY34+HgcPHgQNBoNtra2aGhoQF5eHpkANjExgbW1NQYPHgwbGxtYW1vD2tq60y3spAU8Hg9hYWHYtm0b5OXl4efnh2XLlvGROthsNkpLS0minOCSk5NDFsS0NKeQdJ+yWCyh8wtioc5HiDmJ4L0AeFewRsw76uvrSXtPV1dXzJ07F6ampnwKUjo6Ou0ibRQXFyMvL49PqYtYz8/PJ+9FKioqJInOzMwMZmZmfOviKJJtLZYgjAxXUVEBJpPZbF+CMQRVVVUUFRUhMzMT/fr1w8SJE7FgwQKYmJj0OHUoDodDxrSqqqqakVYECSyC762qqhJ6ryZiBS3ZIhLrZWVluHHjBu7duwcdHR2sXr26Wyu9C0Nrv1cGgyHyPaJ+t4Do+FdrRX79+/fH69evERoaijt37kBdXR3u7u7YsGFDm0m13QU1NTWoqalBbW0t+Uj8flsiclF/56LGo4Kx3ZZivAMGDACdTsfff/+Nn376CUVFRZ2mUCuDaBB28NevX0dDQwM++ugjeHl5Yc6cOTISXReBy+Xi2bNnCAsLQ0REBNhsNqZMmQIPDw8ZuUgC4HK5ePLkCYKCgnDnzh3o6OjA09MTXl5esLCwkHTzZJChW0BG+pKhw7h16xa2b9+Ot2/fYtu2bdi2bVuProDvjmAymQgNDcWePXvAZrOxfv16bNmyRWorA2UQjZycHJw+fRoXL16Empoa1q1bBx8fn16bnO1tePz4Mc6cOYNffvkFFhYW2LJlCzw9PdGnTx+h72ez2WSAoLUAgqhqPGrCjgrBQIEochixrqGhQSbwNDQ0egxxrLq6GmfOnMGZM2cgLy8PHx8fzJ49m4/M1JolZXV1tVCLBaKSlEpkItapfUpdJ9TIiOekTSGpvLwcZ86cgb+/PzQ0NBAYGIgZM2a0+JmOVum2xV6hPYuGhgby8vL4KvOpVfkEmUZRURFGRkYwNTWFqakpzMzMYGJiQlpA/P3339i5cycGDBiAS5cuYcKECZ3S14BoohiRrBFm90Gob1Ghrq7OZ/dBfWxpaWuAisFgYN++fTh+/DgmT56M4OBg9OvXTyQBLy8vj6zAJkgD1CSZoaEh+ZykE2bSgNraWqxduxYRERHw8vLC8uXL+Wwj37x5g+LiYqSkpJBES2H9Six2dna9inSempqKqVOnQk1NDbt27SIVFpKTk5GQkED+96mJW6rKia2tbbefG/F4PLK6OCoqCsXFxXy2kM+ePSOJYNbW1iRxwt7eHmPHju1y26Pg4GBs3bpVpIJAW5CcnIwHDx7g/v37ePbsGfr06YOJEydi1qxZmD17tkg7hxMnTmDHjh3gcrngcrnYvHkzDh8+3K6A/eeff/5/7J15WBPX/sbfkBUSlsi+I4gVLW5Y72PRtlZsq9e9WhEEq1br0mqr915v61Kr1q3aqte2XrQuoFTE5bovtbXWpa2KC6iIoOz7DoGQ/feHzzm/SUggIJs67/PMk8lkkpw5mcycc76f837x008/mb2/hYUFjhw5glGjRpncp6CgABkZGcjJyUF2djYyMzORnZ1Nl+Li4kZTIXY02dnZwd3dnd5fPTw8cPPmTRw5cgTAk/uxWq2GWCzGmDFjMH78eLz99tsm282mVFZWhhEjRuD69esmQTw+n485c+aYnSKyJRUaGoq8vDz8/vvvDe5XWFiIa9eu4cqVKzh//jxu3boFrVYLX19fhISEIDg4GG+88UaT02Pcvn0bffr0wYMHD/DSSy89zaG0iPLy8pCQkKAHeN29excKhYK6UXXv3l3vOhUQEEBTMxYVFaF3794YNGgQ4uLi2vloWlZlZWXU6ZYs5DlxNwOeBI2Ju6Wfnx+FvLp27drh+hZtqTt37mDu3Ln4448/EBERgalTp6KoqKjBFIwNtafaOg1jeXm5SfctYzBSYWGhSQeuxhyGyXYHBwfodDrs2bMHy5cvR1VVFaZPn47PP//cLMhKqVSipKSkHkBH2q4pKSm0HUZcWk3Vt7l9gobc2UndGOtDlZeX1/ssPp+v1zciYJHhYmw7UXZ2NjZs2ICoqCg4OTlhwYIFmDVrVoeGu5gOUMZgLebYlLHXyW9qKIlEYnQMiqyTcRI7Ozs9gIvUrzmOW5cvX8a6detw8uRJBAYGYuHChZg0aVKHC/gbGyNpCNIy3K+ioqLRsRJzndiZ+7m4uDQ51TFxcfnhhx+QnZ1NXVw6IvBC6tdUXZuz3ZiLO1Fb1b+hk5GbmxsmT56MGTNmNOiSzKrlRNI3GqYNnDp1KpycnNq7eC+MkpOTERcXh927dyMzMxNBQUGIiIhAeHg4G2trB7GuXqxYtZxY6IvVU0mpVOKHH37AF198AbFYjC+++AIffPBBkxv6rFpXMpkM3333HVavXg2hUIiFCxfik08+6dCDBayMq7i4GN999x22bt0KmUyG9957D0uWLEHXrl3bu2is2kCPHz/G5s2bsWPHDojFYsyZM6dV4b/WngFoajDDnO1OTk4dwr69uroa33//Pb766ivY2tpi6dKlmD59utmwiVqtbhQOY65XVVVRS/aqqiqTA6MCgYACYGQw1BAUYw6WGgPJWsOpoqysDJ999hmioqIwYsQIbNu2De7u7i36HUqlskEXMVOLKQiPx+M16CQmEAigVCohl8shk8no+Z+fn4+cnBy938jZ2RkqlQplZWXo2bMnIiMjqUuCt7d3m7iDmFJdXR0NXDwtZNdUwK6wsBCLFy9Gfn4+vv76a8yYMcPo4LxCoaAz+bOyspCZmYmsrCxkZGQgMzMTeXl5FF4QCoXw8vKi4J2Xlxd8fHzouoeHR4cbTG4tRUdHY+7cuejWrRv2799vdEC3vNy02x1J4QQ07EzxPKZxysjIwFtvvQWNRoNz587RutPpdMjMzERKSgoePnxIHx8+fIisrCzqDubt7U3dUJjOKF5eXs9MXSUlJaFv376IiorC1KlT671OQAuyXL9+HYWFhQAAV1dXBAUF0aVfv35wdXVttbKuWrUK0dHRePjwYYt8XlZWFs6cOYPjx4/j559/hkqlQp8+fTBixAiMHDkSQUFBdN/XXnsNV65coYFyHo+HLl264MCBAwgMDGz0uxQKBf7973/j7t27uHfvHgUxLCwsIBAIoFKp6sFZHA4HfD4fx44dg729vd65SNK+GruvNUfEsUssFsPKygrW1tbgcrn1HLMkEkm9gVlmgLGoqAg2NjaQy+VQKBQ0HXpNTY3JdmNTZWFhAVdXV/Tu3RvdunWj/7tu3bqZhPYMlZ6ejqFDhyIzM7NR5zUPDw9kZmY2awyksLAQ5eXl6NatW5Pfe+zYMYwZMwYZGRl6wFZKSgquXr2KS5cu4dKlS0hLSwOPx0NQUBAGDRqE1157DQMHDnzqiRhHjx7F2LFjIZPJ2hQILi8vp+kYCeB1+/Zt6nTs6upKoS4CeDWWMlqr1eKdd97B48ePcfPmTbOd4DqSTN3HmdcTHo8HLy8vvXt3YWEhtm3bhj59+uDw4cMt4nr0rEqlUiE3N5e2MdPS0nDs2DHcuXOHnj8Ekufz+bQujaWFb43+eXV1NQWNDN22TDkCG+sr2tvbU4ctsk6eOzo66m0jS1P63WTy6ZdffomKigp88MEH+Oyzz/Suv5WVlXpt+KysLLpkZmYiPz+f3jcsLS1p+53Ztiftend3d/B4PAq0mIK2TG0jj8bCI9bW1tQ5x1ynZKlU+lRQX1FREb755hts3ry5zWGvhsZ/GgOLmuMAZQ7g4uDg0Gp9Nq1Wi5MnT2LVqlW4du0agoODsWjRIowYMaLF2+kymQwymYw6PFVWVqK6uppuM5WKj7nNVFo+kUhUb0KmKTd/U/u1Vb9EpVLh+PHj2L59O86dOwdnZ2e8//77+OCDD1rcxYU40lZXV9OF1D1zTM3YdqYTlzEnQyIyfkYmuZJrhq2trd42Mi5HxtoMt7e2iKNUbGwsVCoVRo0ahYiICAwbNqxDjKs+75LL5Thx4gSioqLYtIHtqPLycsTHxyM6OhpXrlyBh4cHwsPDMX36dPj7+7d38V44sa5erFi1jljoi1WLqLS0FCtWrMB3332H3r1749tvv8WgQYPau1isDFRSUoINGzbQwYPFixc3CU5g1XFUU1ODffv2YcOGDXj06BGGDx+OpUuXon///u1dNFZtIGPw3+LFizvELHummAMlZEClvLxc7zlZJ0CT4WvGZs4SGQ6wMEEmw4EUMqBFUgaRVJc2NjYtcg3Mzc3FihUrsHPnTvj7++PLL7/E+PHj22TwzHDwtaEBWWOvmTtA29CArKnXTKWaOH36NObMmYOKigosX74cH3/8cYcBxpvrMFZUVGTULUUoFMLa2po6jGg0GpomC4BegMHKygqurq5wd3eHh4cH/Pz80KNHD3h6esLb2xsuLi4d7p6tUCiMznpnLiQAxdxmLAjF5/OhUqlgbW2NwMBAuLq6muUuxnRvMRb0JK4AhgAEE2BiuoT5+vqiS5cu7QrhtbRSUlIQGhqKx48fY9u2bZg0aZLZ762oqDAJg2VlZdEZy9bW1jTgyQzGkaWtXZ9aSoWFhXjnnXdQWFiIs2fPNgrwKJVK5OTkUKcZY4F3gUAADw8PPWcwX19f9OjRo1WhqOZq3rx5iI2NRUpKilm/o6HjTkJCApKTk6HT6SCVSimMQZbu3bu3yP1y3rx5uHXrFi5duvTUn2Wo6upqnD17FsePH8epU6dQUlICf39/jBw5EkOGDMHo0aPrwUF8Ph8cDgfr16/H/Pnzm/R9MpkMKSkpePDgAZKTk5GcnIzExERkZGTQ77GwsDCa4qUxESjK29ubpk40TKFIYAAbGxuaerG1pVar9dqBJSUlKCoq0ksrVlJSgoKCAuTm5iI7Oxt1dXVN+g4nJyf07t0bffr0QZ8+fdC7d2/4+/vrtUGuX7+OYcOGoaqqyqQjg6HOnTvXpJSeOp0OO3bswD/+8Q/MnTsXq1evbtJxAE+uNa6urpg8eTK8vLxw+fJlXL16FUVFRbC0tET//v3x2muvYdCgQRgwYECLp+rZsmULvvrqKwp5trTy8/ORnJyMlJQUJCUl4d69e0hKSqJ9Azc3N/To0QOBgYF4+eWXERgYiICAgGY5LK5evRrLly/HpUuX8Le//a2lD6VFVFdXR91mMzIy8PjxYz3HLgIjWVpaws/PD126dIGfnx9dunTpopeKXKfTYf369fjss88wY8YMbN269bmfSV9aWkpdDjMyMpCdnY2srCz6vKCggF5T+Xw+baP37dsXb7/9Nk0L6OvrCw8Pj2a3yc3tazBduBpLBWjKecvwNUdHx1b7nQnstXz5cpSWliIkJARDhw5FVVUVcnJykJeXR90mmY6c9vb2FORyd3eHo6MjbG1tIRaLIRKJoNPpzHIwMjVu0Fy359aEjYyJwF5btmyBg4MDFi5ciA8//NBsl73GnIgaGxsw5vAGND5hrzUcoFpbMpkMP/74I7799ltkZ2dj+PDhWLJkSb3rf01NDQWzCBBEIC2ZTIaKigo6EY9sI+NdZBuBhkyF34RCIXUyMwZkGYO2DLc/CxO6U1JSsGvXLuzevRvFxcUNurgwz19j57PhNlPPTY3PAM/XRFRTevz4MWJiYhAdHY3Hjx+jX79+mDp1KiZNmvTU4D+rxqXVanHx4kXs2bMHhw4dglKpxMiRIzFlyhQWtmtDKZVKnD17FjExMTh69Ci4XC5GjBiBmTNnYsiQIc/MRLznSampqfR+UFhYiKFDh2LmzJkYOXLkc98XYcWqLcRCX6xaVMnJyVi4cCFOnz6NESNGYMuWLejcuXN7F4uVgbKzs7Fq1ap2gRNYtazIzLSVK1fi+vXrrTozjVXHU01Njd5g1fjx4/HZZ5+hV69e7V20FlVLWKkXFxc36NTQENzUlOdlZWVYvnw5Dh8+jEGDBmHLli3PxO9hziBxY681NNBubNDM2toaDx48wO3bt+Hj44MpU6agc+fORgfVOuJgsaG0Wm29WeQNzdQtLi5GUlISKisrIRQKoVKpzAre83g8SCQSWFtbw9bWFs7OznB3d4ebmxs8PT3RpUsX2Nvb6w0Md9SOMzmfmEGtW7duYe/evaiqqkLfvn3h4OCgd641FpBobOHz+aitrUVdXR1qampQWlpK03USOIz5mcZSxRBAzMfHp8Ofl0zV1dVh0aJF2LJlCyIiIrBt27anBjnUajVNGUnqkcBgJIBKuptisbgeCMZ0a3B1de2wbZeKigqMHDkS9+7dw8mTJzFgwIBmfQ4TSmRCYQ8ePKAuNQ25qbXXjMeqqioEBARg9OjR+P7775v1GZWVlUhKStJzBUtJSYFGo4GNjQ0CAwMpBEZAjqYGWydOnAiNRoODBw82q4zmSqvV4tatWzh+/DhOnDiBoqIi5OTkmAzocTgcjBgxArt27WoS/KhWq3Hz5k1cuXIFly9fxh9//KF3jWpI7u7u1OGqc+fO8PT0hJeXFzw9PeHm5tZh7wtNVU5ODr2HELeY1NRUpKSk4PHjx2ZBWxKJhLpgWVhYYN26ddBoNI06fBFZWFhg1KhRNL1kY7p79y4++OADXL9+HVqtFq+++iquXLli1nurq6vx119/4fLly7hy5QouXLgAjUYDJycn9O/fHwMHDkRwcDBeeeWVVg8C/+Mf/8Dvv/+Oa9euNfsz1Go10tPTKdiYkpKC+/fvIyUlhTprSKVS9OjRg4Jd5PrATIP2NLp27RoGDhyIdevW4dNPP22Rz2yOVCoVsrOzKdTFBLzS09P1/vv29vbo3LmzUbjLHAfd6upqRERE4MyZM/j+++8xbdq01jy0NpFKpUJxcbFeOkDSrnv8+DHS0tL0QCOpVFoP+Hd1dYVOp8POnTtx6dIlTJ48GRs3boSjo6PR72wOvFVWVgaFQlHvs4y1YxsCudoLOCgqKkJeXh5ycnKQk5OD3NxcZGZm4ubNm3j48GG9a65IJKIAsUQigUgkovcfjUYDhUJBJ4CZ6q83Nc0Zc3kW+pCpqalYu3Yt9u3bB6lUivDwcAQHB9MJcOZAL8+iy1ZrSS6Xm4SAMjMzcfLkSVy8eBFqtRovvfQS/Pz8oNFo6tVrQ3UKND45zpxtnTp1ei5S51ZWVqK2thYymUzPxaysrAx//PEHLly4gLS0NEgkEgrNqtVq6n5GYDmZTNZgu00qlUIikdCFTOIkz4nLFnMf5sRPMin0eZrYZajKykrqZHT58mU4OTkhLCwMU6dONct5mNXT6+7du9i7dy9iY2ORnZ2Nfv36YcqUKZg0adIzOwnuWVRCQgKio6Px008/obS0FAMGDEBkZCTCwsJafCIMq8ZVW1uLgwcP4scff8SlS5fg5uaG999/H9OnT2fZAVasWlgs9MWqVXT+/HnMnz8faWlpmDVrFlauXPlMWuQ/70pJScFXX32Fffv2oV+/fli9ejWGDBnS3sVi1QzpdDqcO3cO69evx6+//orevXvj008/RWho6DM3SMOq6VKr1Th48CDWrVuHO3fuYNSoUViyZAn69evX3kXrUCJW7TKZjKYTqq6uRk1NDZ29SWZl1tTU0P3J68yUig05S1hZWUEoFKK2tpa6MHTv3p0O7onFYkgkEojFYqPPyToZpHpWpFQqaZ0RuMkwHSUTfiLbCgoKkJ2dDbVabTJgzuVy9Wa7Mgf3mjLYJ5FI9FyhOoKio6Mxb948eHl5Yffu3XBxcak3UJ2Tk4NHjx4hKysLhYWF1DWLDGo35nTC4/EgFArpILOzs3OTBv/bOqgkl8uxdOlSbNq0CUOHDsX27dvh4eEB4Mn1jukaZiy4ZiyVJ0kfZig+n0+Pk5wn5L5JglHEma2kpARlZWV66WY8PT3h6upKQQp3d3e9bc7Ozh1uFuehQ4fwwQcfwNPTE/v370f37t1b7buI6xUz8GroFEYCfMT9yjAISwKxnTt3btMUYoZSKBSYNGkSzp07h8OHD+Ott95qsc/WaDTIysqiafnS0tLokp6eToNOUqkUXbp00Vv8/f3RpUsXk0HpllJMTAzef/99XL16tcWccJRKJVJTU/VAsJs3b0Iul4PP58Pf31/PEaxv374NngODBw9GQEBAs8E0pmQymdkDwmFhYTh48GCDgSoejwdbW1vs3bsX77zzjtF9NBoN/vzzT5w7dw6XLl3CtWvXjF63iDgcDnx9fdGnTx8EBgaic+fO6NGjB7p27coOZuPJ/SIjI4OmvUxOTsbNmzdx9+5do9AFUxwOh0KojQHZpP2WlJTUYLtNLpdj3bp1WL16NXQ6nd61TyaTGQXx8vLyKPR35coV3Lp1C1qtFr6+vggODoZUKsWWLVuQmpqKLl26NFYlLapx48aBz+cjLi6u0X3Jf52ArgR6vX//PnWokkql1P2Q6YLYmqmDKyoq0KdPHwQEBODkyZOtDh4bcyM1dj8UCoVwd3c3Cv76+fk9Vf/g4cOHGDNmDCorK3H48OEO62xmqIKCAuTl5SE7O5sCnsSpKysrSy8doFAo1ANdfXx86Dpxz2X2B+RyOfLz87Fx40Zs374dnp6eCA8Ph729/XMLbxlTaWkpEhMTkZaWRus3Pz8fubm5KC0tRXl5ud4xW1hYgMvl0j6cKfdJgUAAOzs72tZmrhtuM7a9o7kcA//vTElcnZgO54Yp4shSXl6ut62iosKo8zERSQ/HhFXIxCnynAAspD9s6BD1LLUFzHEvb2xbY6AW8OS8dXBwgKurKyQSSZNBLUtLy2faJcnUZD/mc3PWyfOqqiqTblpEIpEIjo6OcHR0pPXXlPoWidIM6Y8AACAASURBVERwdnbukNeCjiCSIi06OhqHDx+GWq3G0KFDERkZadRJjVXLKy8vD/Hx8YiPj6dpA8eNG4epU6eid+/e7V28F0Z3797Fvn37EBsbi6ysLPTq1QuTJ0/GpEmTzJoUwarlReC7vXv3orKyEoMHD8bMmTMxduzYDtH2ZcXqeRQLfbFqNalUKuzatQuLFy8Gn8/H8uXL2VSCHVQJCQlYvHgxzp49i5CQEKxateqZGfxjVV8JCQnYuHEjDh48CAcHB8ydOxcffvghHBwc2rtorNpA58+fx5IlS/DXX38hODgYK1euxODBg9u7WM+lGhswKysrw8WLF/Hzzz9Do9EgMDAQTk5OUCgU9fY35ZIFGHfKau7zjhJUMJRcLse///1v/Oc//8GoUaOwYsUKcDicetAYcc8icB5Jq8B8Tt5jKkjL5XLpoLghGGYKFJNIJEbf01IDvllZWZg8eTKuX7+OtWvXYt68eU0KPCoUCuTk5CArKwspKSlIS0uj6Wvy8/NRUlKiF1TgcrmwtLQEj8eDhYUFdDodVCoVFAqFSWhBKpUaTS9BAg92dnZ6aVXJdhKcsLa2bvJM5qtXr2LatGnIz8/HmjVrMGvWrKeerd/S6Tt5PB4EAgG4XC60Wi3UanW9gJiNjQ2cnJzg7OwMLy8veHl5oWvXrvD29oarqyu8vLzaHGbKyMhAWFgYbt++ja+//hpz5sxpF5ctjUZDXSIyMjKQmZlJg7lknUCNFhYWcHNz00sd6eXlBQ8PD5oSqLWDMGq1GjNnzsS+ffuwa9cuhIWFter3Af8PhDFBsLS0NKSmpuLx48f0fLO1taWOL4ZgWEukjNTpdBgyZAiqqqrw119/tVqfTqVS4e7du7h16xZu376Nmzdv4s6dO5DJZODxeOjWrRsCAwPRq1cv9OzZE4GBgRQKDQoKwltvvYU1a9Y8VRm0Wi3c3NzwySefYP78+Q3CwlqtFo6OjigrK2v0c8l14qOPPsKGDRsgEAhQUFCA06dP48yZM/j5559Ntgc4HA66d++OV155haYl7N27NzuxqhlSqVRITk7G7du3cevWLdy8eRN//fWXSRCMy+WiR48eCA4OxuDBg9G3b1+a9tLcVIK//fYbpk+fjszMTKP3kuvXr6NPnz548OABhbwuXbqEjIwM8Hg89OrVC8HBwRg4cCDeeOMNCnmqVCq4uLhg8eLFWLBgQfMrpRkKDAzE6NGjsWrVKrqNQE0E6iKPGRkZ0Gq14PP58PT01IO6unfvjl69esHa2rpNyw88AdeuXbuG27dvP3VfWavVoqCgABkZGfQexnTsyszMpOeYUCiEt7c3OnfujM6dO9O0gWS9tSDeU6dOITw8HN27d8fBgwc7RDphhUKB0tJSCoYTSJz5mJmZqQfAGnPpcnBwoBM/RCIRKisr9dpxxiYKkAkEhm1fDodjVnpxY6+3p0g/iTnRprKyktZvfn4+CgoK6OSJ6upq1NbWQqFQNOhsyOVyIRKJaH9IKpVCp9PRtOmBgYEYM2YM/Pz8jEJbzUm52poyByRqbHtDfc3GHKAA4M8//8SNGzfQqVMnjB07FqGhobC1tX0m0sbpdDo6maa2tpZCbLW1tXRiXW1tLZ00w9yPgG6GKRNN1SWfz6f/a9KfJJO8yGQ5so30R8k2sViMxMRExMTE4MKFC/D398eCBQswZcqUDu+updFo6GRDpoMWqVdSx3K5XK++G3tPQyFAgUAAsVgMW1tbWFlZUTiLrJNxEEtLS9rPt7S0hFgshp2dHerq6nDp0iUcO3YMKSkpCAgIwJQpUzB9+nR2LLqVdP/+fRw4cAC7d+9GZmYmgoKCEBERgfDwcLbO20ByuRwnTpxAdHQ0zpw5A7FYjFGjRiEyMpJNG9iGys3NxcGDB+sBd1OmTEHfvn3bu3gvpMrLyxEfH48ffvgBt2/fRrdu3fD+++9j6tSpcHJyau/isWL13IuFvli1ukpKSvDFF18gKioKgYGBWLduHYYOHdrexWJlRBcvXsTixYtx5coVDBs2DMuXL0f//v3bu1ismqmCggJs27YNW7duhUwmw3vvvYdFixahR48e7V00Vm2gy5cv44svvsCvv/5K036OHDmyvYv1QqqyshLLly/H1q1b0bt3b2zbtg1BQUF6+6hUKmprT5zFampqqM092UYGShtzK2to4N7W1pY6iZHZwYbPJRIJrKysYGNjA7FYDJFIRPcj68wBwJbSiRMn8MEHH8DS0hKxsbHNTqFG1NigfmPPzR3YbyqEZ2ybQCDAjh07sGzZMgwePBi7d+9u0WCcXC5HVlYWTceSnZ1NXdbILP6CggK942TOuCe/N5/Pp+AVAcUMZ6+bCpwLBAJ6jhlLtUBmpTO3C4VCHD16FLt27ULv3r3xww8/1Pv/tIVI2o/G3MTILPOSkhKUlpbSwffGZGFhAUtLS+pe5+zsDEdHR+oe5uPjg27dutHfoyX+d2q1Ghs3bsTSpUtb5ZxrKRUUFFAAjABhGRkZNLBeVVVF97WysoKXlxfc3d3h4eFB193d3en606ZV0Ol0+PLLL7FixQosW7YMy5cvf8ojfDoZQhbENSYlJYWee8RFzZhrTNeuXc2GLe7evYu+ffvi22+/xdy5c1vzsPSk1WqRlpZGQbCkpCQkJiYiOzsbANCpUyf06tULiYmJCA4OxtKlS9GjR49mOzumpaXB398fHA4HLi4uWL9+PcLCwoxCp9euXWvWZBl3d3c4ODggMTHRaBBOJBKhX79+NF3fq6++2u5AwfMslUqFGzdu4OrVq9RVq7i42Oi+Hh4emDBhAkJDQxvtKxcWFmLhwoXYt2+fSRccPp8PPz8/5Obmorq6GlKpFK+++iqFvF555ZUGA9TvvvsuVCoVjh071rSDfgrl5ubCz88P7777LiQSCR4/foykpCQUFhYC+H8IlUBdBPDq0aNHhwm2b926FfPnz8fPP/+MN998s9H96+rq6D2ILOQ+RNpXxGGGx+PBw8OjHsxF1t3c3No0GKjT6bB+/Xp8/vnn+OCDD/Cf//ynTdzAS0pKqDtXfn4+TQeYn59P3blKSkro/jweD46OjnBycqJtHUtLSwgEAvB4PGi1WgpDGIJcxDGOKaajDDOdGlnXarU4evQobt++jYEDB2LNmjXo3r17u1xrG+uPGAOPamtrUVxcTLc15rYDPAHahEKhXnucpEH08vKCj48P/Pz84OTkVC/9nFarxaFDh7BkyRKkp6cjNDQUy5Yta3WXwZqaGtrXJX1lZt+YrJPXma5bhs5bpia3kDphTmRh9kfIhBdDly1D562GALd79+5h3bp1iI2Nhbe3NxYtWoRp06a1KtxFHIvLy8tNgkEkNR8TJiL7MWEusp+x/xpTpJ9rZWWlN65gOKmKWbfMbcS1zNraullpihUKBeLi4rB+/Xrcu3cPwcHBmD9/PsaNG9cqExYM00k2xSXL1H6NAVqG4w8NjT2Ys97cNJMajQYXLlxAVFQU/ve//8HKygoTJ05EREQEBg4c+DTVysqEysrKcPDgQURHR+PKlSvw9PREWFgYpk+fDn9///Yu3nMvcs5HR0fjyJEjkMvlGDx4MCIiIjB+/Ph2dSV/kVRRUYFjx44hPj4ep0+fhrW1NUaOHMkCd+0o4jgYFRWFo0ePQiQSYfTo0YiMjERISEh7F48VqxdKLPTFqs107949LFq0CCdPnsTQoUOxbt069OnTp72LxcqILl++jKVLl+K3335DSEgIvvrqKxb+eoZVV1eHAwcOYO3atUhOTqYA0IgRI9iG8AugCxcuYNWqVfj111/x+uuvY9WqVewATDvp3r17mDt3Lq5cuYKFCxfiiy++aLVUg3V1dXRw1tyUlTU1NXRmOJmRSwZ3G0uDZGVlBZFIROEgsm5paQlLS0uj68YGHEUiEWpra7F48WJcvHgRGzduxEcffdQqddQUkQBTZWUlDSqQwIIxCM/QdczwPabE5/MhEokgl8vB4XDw0ksvwc3NjQ5+EziP6TpG4Dxra2s9aIgMtjdFarUahYWFyMnJQX5+vh4Qlpubi7y8POTk5KC6upq+RygUwtXVFe7u7nB1dYWrqytcXFxo+gaJREKBJuJq1xaz6M3Z3paz6I0BYpmZmcjOzkZubi4KCwtRVlZGwc66ujqoVKoG04qJRCL6+0ulUtjb28PZ2RkODg40WEpcFpjrZCEAy7Vr1xAeHo7Kykr8+OOPzxwgTNIyMVNIGlsnImmzmC4hhusuLi6Nuspt3rwZCxYswEcffYRvv/32qV3oWlo6nQ65ublG04ilp6ejoKCA7uvi4kIhsM6dO+tBYe7u7nrtxc8//xxbt27FvXv34Onp2R6HRlVZWYmkpCTqKBQVFQWtVkvBC1dXV5oakqSMCwgIaPS3OnLkCN59913odDp67IGBgdi0aVM999Tly5djxYoVNDjH4XCoiyLw5HcgboqN6eWXX8awYcPwzjvvIDg4uFnBTlYtp/v371MXtkuXLhltC/n6+mLixIkICwvDyy+/TLfrdDrExMTg448/Rm1tbaMuOr6+vli4cCEGDhyod47qdDocPXoU1dXViIiIMPr+LVu2YNmyZSgtLW3RgHZ1dTVSU1ORkpKC+/fvIyUlBQ8ePMDDhw9pXTg5OaFnz57o1q0bAgIC0K1bN3Tr1g1ubm4tVo7WUFJSEv72t79h0aJF+OKLLwA8uU8bpiJmPiduZcCT+6+x+wdZvLy8OoxLj0wmw/vvv4+jR49i1apVWLRo0VN/plKpRElJicl7b25uLrKzs/Wgdz6fTx3yRCIRuFwuOBwOtFotBVNKSkqMtnuMteUaW9zc3Ey6f9bV1eHrr7/GmjVr4Ovri++++w6vv/56s+uCgEWkH2CYws/Qfcsw5b0pwIM48wqFQno+abVaOunCEL6xtLSEk5MTHB0dqbOsj48PTUHu6ekJFxeXJl8nNBoN4uLisGLFCjx69AiTJ0/G0qVL4evra3R/w74nmaBE+kqGfSeybjjhiTxvSFKpFGKxmPaRpFJpPWCLgFzGJpuQ11sTgkxMTMSGDRsQGxuLgIAA/POf/0R4eHi938FceMhcsMhUClKmGoOBzIWGyHMbG5t2y+5hbNLrP//5TwQGBtLxjIqKCiiVSnqOKZVKvW2mIDcCzcnl8nruZQ2JOf4hFotpHZnqtxsD5ow5a7W3UlJSsGvXLuzevRvFxcUYMGAAIiMjMXnyZBZ6aQUpFAqcO3cOMTEx+N///gdLS0sKU7CAS9vo3r17iImJwZ49e1BQUEBd1cLCwlrNnZWVvsj/ID4+HocOHYJWq0VISAgiIyMxevToNpnMwKq+UlNTsXv3buzZswd5eXl47bXXMG3aNBaCZMWqHcVCX6zaXH/88QcWLVqEy5cvY/z48VizZg38/Pzau1isjOjy5ctYsmQJLl68yMJfz4EIdb9582acPHkS/v7+mDNnDmbMmME2xF4AMWHOYcOGYcWKFejXr197F+uFEwkCfvrpp5BKpYiKijLLXaAjqDmzWBtbLy0tpcF5U+JyuXRgtDkzV42tN3c2a0vJsC4N6yc/Px8xMTFITk7GgAED4Ovra3LAvz1mAqvVaqNAGEkdQxZmMIrP58PJyQlubm5wcXHRA8TINjc3Nzg7O4PP5wOAnpsDCZwdOnQI27dvp+lQpFKp0eCaYdDNlJjpJ8kgvDEnMhJIIkElw5SgrXUfraurQ15eHtLT0/Ho0SOkp6cjOzsbGRkZKCoqoi4XzCCphYWFXupOpVJp0kmInAc2NjYUQPP398fQoUPh6OhoMpja3v+hpkomk1EnFhKMJutke0VFBd1fJBLB09MT7u7u8PT0hKenJ1xdXeHp6QlnZ2d4eHjA2dkZx48fR3h4OIYPH469e/e2GsjbGqqtrdWDwAzBMJJWUygUUncaX19feHh4YOvWrfD29sb//ve/DjXQ7enpiQULFmDixIlISEigMFhCQgIePHgArVYLGxsb+Pv7o3v37hQI6927NyQSCf2clStX4quvvtILlvJ4PKjVagwePBibN29GYGAgAOC9995DcnIyhXOZjxKJBGVlZfjrr7+QkJBQD/wSCAQYOnQoRo8ejXfeeafdITpWplVTU4Nff/0Vp06dwpEjR6ijFVMDBw7E3Llz0bVrV8yePRs3btyg0F9jcnV1RV5ent62kydP4vPPP0diYiLCwsKwb98+o+9NTExEr169cOvWLfTu3btJx6VUKpGTk2PULTA9PR06nQ48Hg9eXl56rl11dXWYP38+CgsLn4k0HdXV1TTt9ePHj7Fs2TKaNpPcU2tra+n+xPWILN7e3jSlsJeX11M7RraVHj58iHHjxqGkpATx8fEYNGhQg/tXVFRQFy5mqvCCggIUFxejtLSUAg9ETNCVAEmG4nK59Vy2jDlvGdve0oDD8ePH8cknn6CgoABz587FtGnT6MQX0m4kj0wXW+ZjRUUFfU7ulYYikBtxiCLwBo/HA4fDAZfLpfAWgUdqa2tRWFiody4C+uksmY8EbiOTL+zs7JpVJ6b6JbW1tTh37hwOHjyIoqIiBAQEoF+/ftDpdCb7MSUlJQ1Czub0R8ztrzg7O7cLYFRZWQmFQkHhNQIOMeuktrYWDx48wPnz5/Ho0SPY29vjpZdegkQi0XPVMhcesrKy0pvoQ9ILk8lUVlZWFCyysrKi/RfyPmMwEelvtbeY/wGlUknr13Abqd+qqioolUpUVVXRiR/3799Hfn4+eDwenYRGfpvG6hZ4co0iE6xI/THr2VjKQ/J7MJ3MmHVuZ2f3XME4JJVdVFQUfvnlF7i5uWHy5MmYOXOmSQCU1dMpISEB0dHRiI2NRVlZGYXrwsPDOwT897wrOzsbhw8fxq5du3Dnzh14e3sjNDSUdVVrQ2m1Wly9ehXx8fH1/gehoaGwsbFp7yK+kCJOazExMfjll1/g4uKCyMhI9r/BilUHEQt9sWo3HT9+HAsXLkRGRgamTp2KFStWwNnZub2LxcqIzp8/jyVLluCvv/5CSEgIVq9ejVdeeaW9i8XqKXTnzh18//33iI6OhrW1NaZNm4aPP/4Y7u7u7V00Vq2sy5cvY/Hixfj9998REhKC9evXs66L7aCcnBzMnj0bJ0+exOzZs7F27Vqz02s9byKBBpKahazX1dXhzz//xKZNm2Bra4uwsDBwuVw64FtRUQG5XG50nQQqGpJAIIBYLIaNjQ1EIhEdqCXrzBm4husikYgOBvP5fNjZ2dHPE4vFLTbLLCoqCh9//DHeeust7Nmzx2S6mcYgsqbOFDcHxjMHFLOwsKBODrW1tfR3IYG0yspKFBcX66XnA544hzg7O8PV1ZU6Fjg5OcHFxQUODg5QqVTYtGkTLl26hBkzZmDDhg2N/n+YgTsStDMM3JHtTCcGsp0AZaa6ThwORy9lCQkQkGAAOddIoEUsFlOXASZIRgKcTTmHNBoNioqKUFBQgPz8fBQVFSEvLw+FhYUoKChAXl4efY0ZqAVAgxtCoRACgQA1NTUoLi6mwY+GgiUkcGToJEacx8jxM0EY4rZA9usoTijAE6gjKyuLgoyZmZl03VgaKg6HAycnJ0gkEmRlZcHBwQERERHw8fHRcxJzdnbuUMdprghsaOgQlpGRgdzcXAoaisVimrbMx8eHLt7e3vDx8YGDg0ObldnR0RErVqzA7Nmz671WVVWFpKQkJCUl4c6dO0hMTERSUhKqq6vB4XDg6+uLXr16ITAwEL/88gv++OMPo6my+Hw+NBoNpk+fjpUrVxrtv6pUKsTGxmLr1q24ceOG3ms8Hg8hISGYOHEixowZ0+wgPav2k0ajwW+//Yb9+/fj8OHDKCsra5HPzc3NhZubG37++Wd8/vnnuHHjBoUN+/bti4SEBKPv0+l0cHJywuLFi/HJJ5/Ue12pVCI9PR0PHz5Eamqq3pKdnU0d7Tw9PeHv76+3dO3aFb6+vvXggP/+97/417/+hcrKyhY59qdRRUUFvU7n5ubSFNYE8M3Ozta7j/F4POh0OgrV+/j4ULCLQF3PEtRsTEqlEvv378dHH30ET09PfPjhh6iurqbtgaKiIuo6WlNTA7lcbhIQJyKuraR906lTJzg7O8PFxQX29vYNglwtGZQz1uZtzDlWLpcjLy8PDx8+hEwmM5lqlchc91hLS0toNBpotVpwOBzU1dVBJpOhrKyMQvnEDa2goECvfolbnCmIizwagk3V1dWQy+XUUVgul1NXIrlcTlP5NZQCkTyvqalpEIjhcDjQ6XQQi8VwdXWFvb09nRxB+jykbcds6xJ4htkWJi5HbSHmOdJYf6ipr1dVVTWaRlMgEECr1UKtVsPKyoq2BZvjnCUSieDg4NCuDiam6qkltpnjRgboT2Ii7ndarRYFBQWorKyEVCpF9+7dKcRvatJTR5wM1pGl1Wpx8eJF7NmzB4cOHYJKpcKYMWMwbdo0hISEdDiX4+dBjx49wr59+xATE4O0tDS8/PLLmDJlCsLCwjq8i+rzIEOYxc7ODhMmTEBERASCg4OfK5CzI+vevXuIj49HdHQ00tPT0b17d0RGRiIyMhKurq7tXbwXUkqlEqdOnUJ0dDROnToFLpeLsWPHYvLkyRg6dGi7uXyyYsWqvljoi1W7SqVSYdeuXVi+fDmqq6sxd+5cLF68+IUNfHd0nT9/HosXL8a1a9dY+Os5UWFhIX744Qd89913qKqqwsSJE/GPf/wDPXv2bO+isWplHT9+HEuXLkVSUhJCQ0OxcuVKdoZeOyg2Nhbz58+Hra0tYmJiMGDAgPYuUodTZmYmxo8fj0ePHuHQoUP1Ums1pNZwJyPrjclwcLopg8/Mx/T0dGzYsAF8Ph+bNm1CUFBQmwxQk8CRYQoLc9NeyGQyyOVyClKRoFRjdSYQCMDn82lQVqfTQaPRQKlUoq6url6KLA6HAw6HA3d3d3h7e8PBwYEGV9zc3ODt7Q1XV1c4OjrC0dGxRQanGws0mvu8uLi4wZRfzXVAMHzODBaRGfEk6Jubm4uioiK9bVlZWSgsLNQLiPL5fNjb26NTp0402GdlZUV/K+BJelClUkmPlYBzVVVVJv8zBBxjgmEkQGwMGiOAGfO1tnQrNZbSKi8vD/fv38eJEycAANbW1iguLtYL7ppy6WA+dqR0YI1JqVRi6tSpOHHiBL788kuUlZUhIyODQmF5eXn0/JFIJBQEI2AYgStIqqmWkrW1NTZv3oxp06aZtX9iYiJeeeUVvPnmm+jZsyfy8/ORkJCAR48eNRqE5PP54HK5WLRoERYtWkSD//v27aMpsJgKCAjAnDlzEBoa2qYgHKvWlUqlwtmzZ7Ft2zacOnWqQTCYpOtUKBRG91u5ciXOnz+PixcvUtiLSCqVNgiXjR07FgqFAgsWLNADNe/du4eHDx/Sz5JKpTQFIXHt8vX1pQ405mrhwoW4ePFiPaixpUWAZgJxGcJdWVlZem0LiUQCT09PeHh4wN3dHV5eXnB3d6dthF9++QULFizAsWPH8Pe//71Vy/60MgYwkaWsrIzet4uLi1FWVkbbYOTRlDgcDgQCAYRCIXUD6tSpExwdHeHi4kLdLX18fGgqRnIPa26wk8BQjaVKl8lkFLw3dGwl8L4p4IbpbkTaCyQdWlpaGhISEuDs7IxJkyahb9++9dL82drawtraGjU1NcjLy9Orb3KvN3xu6GolFArRqVMnuLm5wdHREdbW1ujUqRMFpSQSCXQ6HX0kE17IpBXD9HHE1YjZpm5IpO8glUophCUWi42mQGQ+JxMQhEIhfvvtN3z33XfIyclBaGgolixZgq5duzbrdzel9oaySF2Zgq4ag7KMbbO1tcWlS5fwzTff4MaNGwgODsaiRYtaNWW6TCaDSqWix1xRUQGtVouKiooGnbLMcc+qq6tDZWVlg3AkEUmPSf5vpD4EAgGdOGW4jUw4IROnyPkqEAgglUrB5/P1thEVFhZi9+7d+P7775GTk4Phw4dj/vz5CAkJabV6fhGVmpqKmJgYREdHIzMzE/369aMOU6YmobFqvgoLC3HgwAHExsbizz//hJOTEyZNmoTIyEj07du3vYv33Esul+P8+fOIiYnBsWPHwOFwaNrAMWPGdBhXxOddqampiIuLw/79+3Hv3j34+voiPDwcYWFh6NatW3sX74UVcRz86aefUFpaSp3WJk2axMbvWbHqoGKhL1YdQjU1Ndi6dStWr14NiUSCL774AtOmTXtmAh8vmgzhrzVr1rBp4p5xyeVyxMTEYNOmTUhOTsaQIUPw8ccfY8SIESyt/xxLp9MhPj4ey5YtQ3p6OmbNmoWlS5eywcg2VlFREaZPn44zZ85g4cKFWLlyJTuwYCCFQoHp06cjLi4OW7ZsMeri0pZSKpU0FQwZIGcOpKtUKlRUVND9ampqaOoPtVpt9v6Nicfj6Q2m29jYgM/nw9bWFkKhkKaaIG5kfD7f7P2ZA+4tqYYCOOamBCV1RNI+NpRGxlAcDgd8Ph8CgQACgUDPtYIExlxdXWFnZwdHR0e9gGdrzA43DH5WVFRAJpNRRwYSDGW6NVRXV9PnJDBKAoKmZCzYZ5imkpmaRCQS4cyZMzh06BC6du2KiRMngs/no7y8HKWlpSguLqZBz6KionoBNlKPBEIjAVAC9VlaWlLHJIFAAIVCYTSwzTwHjH0PkbmuHKZec3Jyeup+R1ZWFoYNG4bq6mocOXIEUqkUeXl5enAYSYlKnjNdcrhcLpydnfVc7lxcXODs7ExTozo5OcHJyalD3Kerqqrw8ssv47XXXsPevXv1XlOpVMjOzqbHbJg6MjMzk/6WAoEA9vb2cHNzozAKAeGY6+bI0tIS//3vfxEZGWnW/qdPn8bw4cPB4/Gg1WoxYcIELFq0CP37928QyGSKx+PB3t4eo0ePxu+//44HDx7ovTZq1CjMnTsXgwcPZmeHP+d6/Pgxtm3bhp07d6K0tJRuF4vFGMUbigAAIABJREFUePvtt9G7d28UFRVRB72cnJx6EIch7MVUZWUlNBoNEhMTsX//ftja2tL/VGJiIr0XMsEuJtzl7+/fYo5Lb7/9NlxcXLBnz55mvZ8AyIbXR+ZjVlYWZDIZfY+hM1JTrxV37tzBgAEDsGDBAqxatapZ5TZXJP02AZjIOgGimdvIQpyhiAuTMZF+uVarrQcOWlpawtramqaO69evH15//XW4urrCz88Pfn5+8PDwgK2trVnHYAzGIgASaQObA3BVV1c3eD0lgBJZCNjNhLKYEBdzm7W1NU3TbXgP1+l0+Omnn/DPf/4TMpkMYWFhePXVV1FWVoaSkhIUFRXRpbi4GCUlJSgvL9f7DA6HQwEVS0tLmp6Rx+OBy+VCo9FQNywyUaKurq7RYwbMc8xtSmp2e3t7CpY2VUqlErt378bKlStRVFSEsWPH4sMPP4S7uztNYUkmbxBYiMBGtbW1tA1HQCNm/8jY641JIpFAKBTC1tZWDxgSCoX0PDF8nQkPmXpdKBS2eEo04qq3evVqpKamYujQoZg3bx66detmFG4z9WgMZGvo0Vy4Dah/rjV1ElJD22xsbNpkvPDKlSv47rvvcOjQIdjY2GD69OmYNWsWfHx8Wv27XxRVVlbi6NGjeum6JkyYgKlTpzY5dTSrxkXSZUZHR+Ps2bPg8XgYMWIEIiIi8M4777Djga0shUKB06dPIy4uDseOHYNSqURISAhCQ0MxduxYNm1gGykjIwMHDhxAXFwcbt68CWdnZ4wfPx5hYWEYMGAA23duJ2VnZyM2NhY7d+7Ew4cPERAQgPfeew9TpkxB586d27t4rFixakQs9MWqQ6mkpAQbNmzApk2b4OPjg5UrV2L8+PHsTb6DiszuT0hIwOjRo7Fs2TI2TdwzLp1Oh7Nnz2LTpk04d+4cvL29MWvWLEyfPr1DBBhZtY7UajV27tzJui62o3Q6HbZv344FCxagR48e2Lt3L/z9/du7WB1KOp0OX375JVasWIGPP/4Y33777XOfUqCiogIqlYpCPhs3bsSePXswfPhwREREQKPR1IPKyP7MoIBarTYJoZnTFWgqJEZmb5NAgJ2dHTgcDqRSKU2DSNIHEnDtaQGzw4cPY968eaipqcH8+fPx97//HQqFAhkZGSguLqYBvdLSUpSWllIHKlJXcrncqIsYALPqqLnOAC2ZckSj0dDjIgHX6upqs8Ayppubuc5sJJhGAs08Hg8cDkcvKK1SqaBSqaj7CPleprhcLjp16qSXypM4szk4ONBtxLGMy+VSpzkSdCaPJIhO6oG5ToLtplwLDAPKxJnDMPjMDDKThbiRabVajBs3Dnfu3MGBAwfw1ltvNViHtbW1yM3NRUFBAX3Mz89HYWEhdWArLCys5wrH5/MpFObi4gJHR0eaBooAYo6OjnB2doa9vb05p0+zdPz4cYwaNQonT57E8OHDzX6fUqlETk4OcnJykJmZSVOwMZ9XVFTQ/a2trWnaNQ8PD3h6esLb25uue3p60qDu119/jRkzZphVju3bt2POnDm0bvl8fpMgUlPi8/mYOnUqFi9eDC8vr6f+PFbPluRyOaKiorBmzRoUFhbS7T4+Pvjvf/9LrwuJiYlYunQpjh071iDsRSQUCvUc6IKCgmgKxsrKSvznP/9BdnZ2m6T/cXd3xyeffIJ//vOfetuZMBcBuHJycqhbV0FBAXJycvTuA0KhEC4uLnB3d4ebmxvc3Nxoilzy6OHh8VT9koqKCgQFBcHb2xs///xzo5ACga+YUJYxiIsJcjG3mXIKJMAzSX2tVquhVquhUCjqARwSiQT29vb0Hujp6al3fyTXfmdnZzg4OODWrVsYN24clEolNm7cCH9//2Y7kzYEWQMNO5E2xY3UMHWhManVatoOrq6uRmZmJoXPc3JyqNMZuc+TCQHV1dVG7/cWFha0fdcYNMN0ziLtHTs7OwqBkQkDBH6RSCS0TcRMDU9cSa2srGibuCkibXri7MScREJAKgJXMdv9pO7I78p8P3GGIuetOY5ORMz09qSODKEsgUDQ4OsEyjL2ekuI9HUacsPSarWorKyk9UT6SaS+SL2TzyIwH3lPUVER6urqmlR3pI9EHKxI+9nW1hYWFhZG+0qkj0T6XqTOyGeRvhiz30UAuGdZCoUCcXFx+Pbbb3H79m307dsXH374ISZPntymLr/Ps7RaLX799VdER0fj8OHD0Gg0GDlyJCIiIjBs2DB2In4LS6PR4MKFC4iOjsaRI0cgl8sxePBgREREYNy4cc/8f7ajS6PR4I8//kB8fDxiY2NRVlaGAQMGYMKECQgNDYWzs3N7F/GFUG5uLg4ePIj4+HhcvXoVdnZ2GDFiBCZMmMACj+0oQ/BXKpVi/PjxiIiIwMCBA9u7eKxYsWqCWOiLVYdUamoqFi9ejIMHD2LAgAFYuXIl3nzzzfYuFisj0ul0evDXsGHD8Nlnn2HQoEHtXTRWT6m0tDTs2LED27dvR01NDUaNGoVPPvkEr776ansXjVUrSSaT4ZtvvsHXX38NW1tbLF++HFOnTmXd3tpQycnJCA8PR2pqKn788Ue899577V2kDqeYmBjMmDEDY8aMQUxMzAs3KLB3717MmDEDr7/+On766SdIpdKn+jwS6GBCYiqVCpWVlUYhMWNQGdmfBJ6Y+5PAirkSCAQ0xQwzsEEChCRIQgIcJFhiY2MDrVaLP//8E2fPnoWnpydmzpyJfv36wcLCAra2to2CZgqFAqWlpfXS95SWliIrKws5OTmoqKhAeXk5CgoKjLoV8Hg8GvTj8/l6EJRGo4FOp4NSqYRSqYRGo9FzejIlUk5jzgXkeIiTG/lukUhE60YqldJjJvXJdIAj9WdM5HjXrl2LHTt2oH///vjoo48gEAiog0NtbS1NS2QsJajhfg11P7lcLiwsLMDlcmlqT2MgBAEOCZRlb29PATEHBwc4OzvD3d0dLi4u8PDwQKdOnejvwEwxRYAwEvgkICB5ZKaZIgsJLJuSWCyGVquFXC6Hp6cnXnrpJT1AjKSSMgTMiJMJM1hMpNPpUFxcjKKiIhQWFiI/P5+6rREojLiuGQbrBQKBnmsYAQgIPEDqjYADTQ2khYeH47fffkNSUlKLpnypq6tDXl4eHj9+rOcYRtYfPnyo55IklUpRXV0NX19fvPHGG/VcgEj6zDt37mDnzp2YP38+oqOjsXbt2kZTORIRsJGAYUKhECqVigZ8LSwsMH78eKxZs4ZNmc0KtbW12Lp1K77++muUlJQAeAITjx49GhqNBidOnACPxzMbNCRpj8n/OyAgALt370b//v3x4MEDBAQE4NatWy3uyMG8N+bn5yM1NRVz5szBhAkTIBKJ9FLfFRQUmJ3alvxHXVxcWhTiJ9d2cr2urKzEsmXL8ODBA8ybN4+CHqYgLlP3ZZFIpHePJW5PHA4HWq2WwlvEfdPwuiIWi+Hk5ESvtUyoWCwWUxdMcp0h7S9yXyXQdE1NDXUDI65KDUE7BCCxtram6dJIimTStiD3JabjFnkPcQYl7zHsF5K2YnV1NYWOSBuRpJkjkLlCodBL3VhSUkJdwwhsQ9qQBBo3Z8iay+WCy+WCz+fT+6+lpSV8fHzofc/Ozo7We0NwFtMBtrHzsrnOTea4OpF9CLRkjsxJGy8SicDn85GWloabN29CoVBgwIAB+Pvf/w4XF5dGXZ6a4uyk0+loH4Cco+R4CKRG+g6kP2LsPeSxvLy8HqilUqnouUXSY5pKKW5MUqmU9hNIW9mwL8Lsg6jVaiQlJeGvv/6CTqfDa6+9hnHjxsHe3t7opBbyWaT+WDWuR48eYfv27dixYweqq6sxevRozJw5k03h2IJKTk5GXFwcdu/ejczMTAQFBSEiIgKTJ09u1ckiL6pIerT9+/ejqKiI1vekSZPg5OTU3sV7rqXVanH16lXEx8fjwIEDKCgoQPfu3TFhwgTWtagNVVpaipMnTyImJga//vorbGxsMHLkSEyYMAFvv/22XhpfVm2n2tpaHD9+HPv378fp06dhYWGBMWPGYPLkyXjrrbdY8JcVq2dULPTFqkPr2rVrWLJkCX7++We88cYbWLlyJUsXd2BdvnwZ69atw4kTJxAcHIxFixZhxIgRrFPbM666ujocOHAAGzduRGJiIoKCgjBz5kxERESwA1fPqUpLS/H1119j06ZN6Ny5M7755hsMGzasvYv1wkihUODTTz/Ftm3bsGDBAqxdu5btbBnowoULGD16NAYNGoSDBw++cNeiGzduYOzYsRCLxTh58iT8/Pzau0iNylSQhgQLSbDGcHY9CQoZzrInM/ZJIIjAROXl5dTxylw1FzQTCoWQy+WwsLCgAJhMJtNzViCuW8Q1xDCVFwCaVpK4RZFUQmKxGDwejwaXORwOTUOn0WhMuj0w0+8QRwJzRI6fHC8JgNna2kIgEEAul+PGjRtQqVR4++23ERAQ0GzYrCnpPcvKymhAvri4GOXl5TSwV1tbC5VKZVY6VA6HAwsLC/B4PBpcF4lE1CGKBL5JcLhTp05wd3c3meKTQHwkTSuBxghscPbsWZw6dQo9evRAYGCgHjjGBMxMAUfkXCOAGBMas7W11Qvik4A8OXeUSiXUajV1RKuoqEB+fj5NY0VAseLi4nrBUbFYDAcHB7i4uMDBwUEPCiOQGPN1lUqFnj174pVXXsGhQ4fMOtdaSkVFRcjJyUF2djYyMzOxbNky+Pj4QCKRIDMzE/n5+RSQ4fF4cHV1hU6nQ05ODoAn8KAxhx1DWVhYwNPTE0OGDEGPHj3QtWtXREVF4fjx43SfoKAg/Pjjj+jVq1frHTCrZ1IVFRX417/+hR07dpgFsDRFERER2L59O7hcLiQSCXbu3ImwsLBG36dSqVBcXIyCggIUFBToOQsWFRVRiLSgoKAe5GppaQm5XI5XXnkFXl5eNB0tcRsk0K2zs3OT2q+GwEtDDlWmXispKTEJyJBUsgT6EYlENDWfoUMlgY9IikJjkDe5/pL7glAopCAYcZMi4JJSqYRcLqewVkOgKbmnEkcpsVhM7wFisRhWVlY0TbNAIMC5c+dw4cIFvPvuu5g9eza9P5B7AwGoSBpoQxdYUn+kHVFdXd2klH2NiQm/63Q6o6kpgSdtENKGIMdsZ2dHwW7ieubh4QFXV1d4e3vD2dkZfD4fFRUV2L17N1asWAGBQICPP/4Yb7/9NmpqauixN/RI2pbmPppz3AAoAGSsfUUcmQzbUMagfPJ+ppMuAf5JO8uYDMGqsrIy7Ny5E7GxsVAqlRg1ahSGDh0KGxsbemzmwFikzd3Ye5oiAl4BoG5opD3ZWm5YTRmnfPToEbZs2YIdO3bAysoKc+fOxbx581oUdn+RRRynoqKicPjwYTg5OWHmzJmYM2cOC8W0kMrLyxEfH4/o6GhcuXIFHh4eCA8Px/Tp01mH+VbQ/fv3ceDAAezduxePHj2ioFFERMQzMXbzrOvevXuIj49HTEwMHj9+TOs/LCwMXbt2be/ivRAqKyvDiRMnEB8fjzNnzoDP52PIkCGIjIzEqFGjmp2SmtXTqa6uDmfOnEFcXByOHz8OhUKBN998E6GhoXj33XfZ1KasWD0HYqEvVs+Erl69imXLluGXX35BcHAwVq9ejddee629i8XKhAj8dfLkSQQGBmLhwoUIDw9n3YKeAyUkJGDz5s3Yv38/pFIppk6ditmzZ8Pb27u9i8aqFURcF+Pj4xESEoLNmzeje/fu7V2sF0b79u3Dhx9+iL59+yIuLg6urq7tXaQOpYSEBLzzzjvo3r07jh8//sJ1TgsKCjBq1Cg8evQIhw8fxuuvv97eRepQ0ul0iImJwcKFC8HlcvH5559jxIgRDboqNPfR0LGhKRIIBDTVEzPlEAG71Go1VCqVUSiFuFGIxWI9pyg7OzvY29vTNIT29vbU0YPsr1arweFwqHsbMxjMDGoapgaqqKjA/fv3kZubS7+LODYQ2MwcGQtmmoLNSJCbmQ7HEMCTSCSQy+Xg8XhQKBRQq9XIz8+naapKSkpQUVFBATKS+pKAhgqFQs+xqSkSiUS0TKSsnTp1grW1NYqLi3H9+nW4u7tj7NixcHZ2hkgkgpWVFU1rJBQKYWFhAbVaDY1GA41GQ53gqqurUV5eTgExshg6kBHnF1MiwVQbGxvq2kKcxsj3E0cT8v11dXUUfGCmzZLL5XqfTVzXioqK0Lt3b7z88ss0QN+pUyfqwubg4EC3icXiJtezOQoMDMS4cePw5ZdfAgA9D7KysigYtnbt2ia5DwJP6k+n08Hd3R2zZ8/GqVOncOXKFQBPfv9FixZh8eLFL5zzJKum6ffff8f777+P9PR0AKCAkEKhAJfLpXBtU3Xp0iUMHDgQL7/8MoYNG4b3339fz62SuU4eDR0BCcxKnLhMrbu7uyM2Nhaff/45ysvLweFwKAhErhNknQnBGqbeZS7kPabgS+b1iiwkbRyPxwOPx6P/0bq6Onr9kslkyM/PR3JyMoVJCJjNlIWFBQQCAf0cCwsLei1Wq9UN3tcIeEJSW5sLa1lZWUEgEEAkEtHvFAgE9P5lTlujtLQUv/32GyorK9GlSxeIxeJ67zM3jbdQKIRQKASfz4eVlRVtkzDd5Uh7hNSvXC6vd8+0sLDQc7EkQDsTviFuZgKBQO87VCoVbUeY+9gUFyzg/1PrmXokbYzGHo21U5jgOwAKPJI2FROEIttIPZJ2GJkgAZgGq5rynqaIHBuBpQhE1RCM1Zz3kLom9f606d1bW7///js2btyIEydOwM/PD59++immTJnCphdsIRUWFmLXrl3Yvn070tPT8eabb2Lu3LkYNWoUO37cAiLpBKOionD06FFwuVyMGDECM2fOxJAhQ9gJ2i2snJwcHDp0CPHx8RSsGzduHCIjIxEUFNTexXvuRUC7n376CQ8fPoS3tzdGjx7N1n8bqqKiAseOHUN8fDzOnj0LLpeLkJAQTJgwAe+++26rjQGwalgktWlMTAzi4uJQXV1NU5tOnDgRLi4u7V1EVqxYtaBY6IvVM6XLly9jyZIluHjxIkJCQrB27Vq24daBlZiYiA0bNiA2Nhbe3t6YN28eZs2axdL8z4EKCgqwZ88ebN26FXl5eRg+fDjmz5/PDhw8p/rll1+wYMECJCcnY/bs2VixYgUdyGXVukpOTsa7776L0tJS/PTTT2yqYwMlJydj6NChcHFxwenTp+Ho6NjeRWpT1dXVYerUqThy5Ah27NiByZMnt3eROpzKy8uxfPlybN26Fa+//jq+//57dOvWrdW+z1xHM6YbGXGMIEFvY44JJN1mWVmZ3mfX1dU1CIY1JpKaioA/JO0PccAi7lyWlpY0yO7k5IT09HScPXsWOp0OYWFh6Nu3L91fpVJBJBKhtraWOsKQFGYkCCmTyWBhYWE2bGboxtEQIGCoxtJ7Mp3eBAIBbceQQDcJcBN3MVKeuro6CjGYCq6SwDmB7EgbWKvVmpVSkARUpVIpLS8JmNra2lLXCmYqJg6HQ38HrVYLLpdLIcKamhpwOBxoNBqaKkyhUBh1WysuLm4waExAN3KM5Ld0dHSkAXzy2YZDDgKBgMKJJB0ngcIMgTGykBRMDal///544403sH79eqOvx8XFITQ0tNF6N1eenp44ceIEevbs2WKfyer5lkwmw+TJk3H06FEAT/4LGzduBJ/Px759+/Dnn382CWIBnqQnEwqFKCws1Puvkeu1m5sbTSvo6uoKR0dHuo3Ap0yQpzE3rYSEBFRWVsLW1hZ1dXUNuh4RmIy58Pl88Hg8WFpaUtiZuFcSWIvcA+VyOWpqaqizIwF0mwq0AE8ctAQCAXWflEgkFNC1srKirkEEXiFQh0AgAJfLpU6bxDWyrq6OwtPkHk/K2FCq7IZSMRqWl3nNJ25Gtra2kMlkuH37NgQCAQYNGgRHR0cKqmk0Gto2kMvl1GWM/IakjOTRmAiURR6J0ygAms6SuKKR7zMX+gZgMu1gUx7lcjmOHz+OK1euoGfPnpgxYwb8/f2h0+koBMjhcCiMq9Fo9OB8Q0CupbY1B7gC/j81I3Pd3EdT75HL5Th9+jTOnj0LoVCIsLAwREZGUucksq85qSxfJGm1Wpw8eRJr1qzBH3/8gaCgIMybN4+dyNpC0mq1+OWXXyiIJJFIEBERgVmzZuH/2DvvsKau/49/MoGwQQUFHDixjiq1DhzVxo1SR5yNrVap2hrHt1+xVo3a1qa1ampr21g7orVacAY3jvaLu7ha91YcqIBAWALJ+/dHf/c2OCojcAmc1/PkeeBCzn3n5t6Tm3Pe5/0JCQkRWl6l4NChQ/TLL7/Q2rVrKTU1lbp160ajRo2igQMHMtOFnUlJSaF169bR6tWr6cCBA+Tt7c0nSnXs2JGNj5cxN2/epI0bN/JGu4CAABo0aBCpVCoKCwtjx78cyM7Opq1bt9LKlStp165dJBKJqHv37qRSqWjAgAHPTCNllC22pU1//fVXunfvHittymBUEZjpi+GQ7N69m2bOnEkJCQnUt29f+vDDD+nFF18UWhbjGVy9epW++OILMhgM5OfnR9OmTaNx48ax1XGVgLy8PNq8eTMtX76cdu/eTY0bN6YJEybQW2+9VaFXbDKKj9VqpZ9//pn++9//ksViodmzZ9O7777LBj7LAbPZTKNHj6bNmzfTRx99RNOnT2eDFzZcv36dlEolX+ImMDBQaEnlCgCaN28ezZ8/n+bMmUNarZadH09h//79NHHiRLp8+TJNnz6d3n///UprQredhExOTqbk5GR68OABpaSkUEpKCj+Jn5GRwZec5AxAnLmJS3l6lvlAIpGQRCLhJ5i53wsKCkqclvW8CcynbcvLyyMnJycSiUQkl8sJAF8+SiqVksViIalUSjk5ObyxAACvkzMmcSW4ONOBbUnRxw1nRUEkEvH3uU5OTrzJCgC5u7sXMjn8m2FPLpfzJcNkMhmfCieXywu9RqK/+4JHjx6R1WotlAjyPDhTHJe6waWocSYrFxcXksvlRPRPcolcLufNhtz7/ujRI9q9ezc5OztTixYt+POK05GcnPyvx49LfBGJRHzq2eNwKSFcWhlXhtPb25t8fHxo27ZtVK9ePZo6dWohk4mfnx9JJBL6/vvvaezYsc89Jo/vs6CggE/i4Y5pq1ataNu2bWW+MtbNzY1efPFF2r9/f5nupyRUZG1FRYjXYLVaafr06bRo0SIiIj6tiksDKi5yuZzeeustOnDgAKWlpdGwYcNIJBLx5iOur+fSAbltmZmZT22PS2H09PTkU6m4fsDJyYkOHTpEXl5e9OKLL5LVaqWcnBw+ESs7O5vy8vL4PvTRo0e8oYz7vHjeEKRIJOJLAtoaj1xcXAolBHHlADlzLGcm40yuu3fvpuzsbHr11Vf5FMjnJXYWFdvPIq70L1eOWSKR8AletsZYLtFKJpNRdnY2/9nEmZFsU7S4ZCcu/YpLheKOc0lM3k97DVypas7obVtakOiflCbufeA+bzmTNADeNG77OUz093mZn5/Pv/bs7GySyWT85yzRP6Z37r2wLSH4tG226ZwlScXj8Pb2JqJ/zGdP28aluD1rG3cOPm2bbdLV07Zx5yxnOrc3169fpyVLltDy5cvJw8ODJkyYQNOmTatyqcjFJTMzk77//ntasmQJJSYmUp8+fej999+nDh06CC2tUnDv3j366aef6LvvvqMrV65QaGgoRUZG0siRI5kRyQ5cuHCBfvnlF1q9ejVfTvD111+n119/nYKCgoSWV6mwTTPatWsXicViUiqVNGrUKIqIiOC/NzHKhmvXrtG6desoJiaG/vjjD6pWrRqpVCoaNmwYdezYkZmYy4GMjAzaunUrxcTE0Pbt28lqtVL37t1p6NChFBERwe43BOTYsWO0cuVKiomJobt37/JGr5EjR7JSvgxGFYGZvhgOze7duykqKopOnjxJgwYNog8//JAaN24stCzGM7h58yYtWrSIVqxYQa6urjRx4kSaMmUKP0jGcGyOHz9OX331Fa1Zs4acnJzojTfeoMjISHrhhReElsawIw8fPqRPP/2U9Ho9BQcH0+LFi6lXr15Cy6r0AKClS5fSf//7X+rbty/99NNPLG3Nhrt371LPnj3JbDZTXFwcNWjQQGhJ5c73339PEyZMoIEDB9JPP/3ET2Ix/iE/P5+WLFlC8+fPp8DAQFq6dCn16NFDaFkVnmclv3CPEydO0K5du0gqlVKzZs1IJBLxZRRTU1OfaRzjUlc4Iw83Wc6VPLM9h2UyGZ9alZeXx5sCcnJySCwW8xPnXLIaERUrDexxPDw8SCKR8OYCon8mv2UyGTk5OVFBQQF5enryxjMObmKfSxvJy8sjuVxOZrOZTp48Senp6dSkSRPy8vIqVMqRS3XLzs7mjVuckas0E/zcseJKl3HHlzOSSSQSkslkhRLfuONtW/ZRJBLxKXV5eXm80ctsNhcptYyIeHMBl7bDabE1RRD9k7LGva+cMY8zIpYk6Ucmk/GGv+Iev1atWlFgYCCZTCYiIurYsSPt3LmzXBawVGRjVUXWVlSEfA3vvfceb/yyFyKRiLy9vUmhUPDXvK1xlIj464e7jjlDUV5eXiFDTkn3z13TtqUXuT6Gu8bFYjHfx3CfEdz1nZWVVeT9cX0KV5qQMzKlpqZScnIyNW3alE94JPrb6GSbgMiZlTizKRHxfTZnouVMRlz5yNzcXH67raHNHnApYo/301wpxPT0dMrKyiJ/f38KCgrizcAymYw/zk5OTvwxlUqllJWVxad62hr9uJ+51C8iKpT+VdLEKls4wxMR8WlStp+rT9vGfdY+bduVK1do48aNZDabqV+/fnyCBGcM54xbtmbxp22rrJw5c4Y+/fRTWrNmDQUGBtKUKVMoMjKy0r/u0pKUlETffvstffnll5SXl0cjRoygadOmsbFlO2C1Wmnv3r20fPly2rSVoI1CAAAgAElEQVRpEykUCho6dChNnDiRWrZsKbQ8hyclJYXWr19PK1eupIMHD1LNmjVp8ODBpFKpqGPHjkLLq1SwNCNhuXz5Mq1bt47WrVtHx44dIx8fH3rttddIpVKRUqnk7/MYZUdKSgqZTCbasGEDxcXFkdVqpa5du9LQoUNpwIAB/P0Wo3yxWq104MAB2rhxI61fv55u3rxJISEhNGzYMBo6dCi7l2EwqiDM9MVweKxWK8XExNC8efPo0qVL9Prrr9OcOXNYTGUF5t69e6TX6+nrr78msVhMEydOpEmTJrEa0pWElJQU+v7772n58uV05coVCgsLo3HjxtGQIUPYgGMl4uLFizRr1iyKiYmh8PBw0uv1VL9+faFlVXr27NlDw4cPp+rVq9OmTZvYSh0bHjx4QL1796akpCTavXt3mZbwq6js3r2bVCoVNW3alDZt2lTlyl0WlZs3b9KUKVNo48aNFBERQYsWLWL9Vym5e/cuTZw4kTZv3kxjx46lhQsX8sZUs9lM6enpfNIMlzCTlpbGJ4xxv3MlsMxm8xO/P68kFpdK4+bmRu7u7vzvLi4u5OLiwhu5uEQTuVxOzs7OZLFYyNXVlaxWKwEgZ2dnyszMJIVC8cykEc4MkJ6eTkTEp4LZlu3kEsJst3FlvkoDZ3IgIj5dBgC5uLjwZimZTEYFBQWFjGdEVChphzPJWSwWvlQX97M9hwhsjXy2Ji/O6MWZLjh9XFIbl8bGmd6KWjpMLBYXMrwQ/VOOzB4mBj8/Pzp79iz5+PiUqp2iUpGNVRVZW1ER+jUMGTKEYmJiyqx9ztDEGVGL8r8cRXmOLVy6Fdc/cQYrrp/lTGe2+yooKOBTuMRiMd8vERF/7QN4ZipZUeDMrUT/mHK5voErAci9Vu5h2y/+2+cOZ9LiTFW2Rlki4ssMciV+i1ra99+wTYyyTYqyNTVxSVJE/5iYif4xQNm2wZWRfLwNW8MWZ9Il+seAZdsGVzaZiAqZtezFhQsXaMqUKbRz504aPHgwLVq0iCXX2HDq1ClatGgR/fLLL1SvXj3673//S2PGjGGT4M/h6NGj9MUXX1BMTAxVr16dJk2aRG+//TabuLYDLNWr7MjJyaEtW7bQypUr+QUI/fv3J5VKRb1792bXvR3Jycmh3bt3U0xMDG3YsIFyc3Opa9eupFarKSIigi3CLGOuXbvGJ6odPHiQvL29qW/fvqRSqahnz54sUa0cSE5Opm3btvGpdiKRiDp16kTh4eE0fPhwvlw0o3zJy8ujvXv30saNG2nz5s107949atKkCQ0cOJCGDh1KLVq0EFoig8EQEGb6YlQarFYrrV+/nmbNmkWXL1+mQYMG0bx58ygkJERoaYxnkJaWRl999RV9+eWXlJ6ezq+oa9asmdDSGHYAAO3Zs4ePlXVycqKhQ4fShAkTWDnWSsSOHTto2rRpdPXqVZo6dSp98MEHrLRnGXPr1i0aOHAgXb58mX799Vfq3r270JIqDOnp6dS3b1+6cuUK7d27t0reA5w+fZrCw8PJycmJtm3bxsxM/8K+ffto8uTJdP78eZowYQJ99NFHbJVuKYmNjaXx48eT1WqlZcuW0cCBA+2+D9vkMdvSXMX9PTU1tUiT708r4/V4mcln/e1Z/x8bG0sLFiygTp060XfffceXdiP6p9yVrVnsWUkstmlm3PMKCgrIbDY/8TzOmGb7PFszm+3zuONUWjgDSVGHHGxNJ4+bT4ioRKVDuckviURC+fn5JWrDlg0bNtCAAQNK1UZR+Pzzz+m///3vE9u5cpqbNm0qpOP8+fM0e/Zs2rNnD6WmphLR32boatWq0YMHD+jDDz8kk8lEd+7cIU9PT+rUqRPNmTOn0D15QUEBrV+/nlasWEF//fUXpaenU4MGDWjs2LE0adIk3sxSXG3Xr1+n6dOn07Zt20gul1OfPn1o6dKllJ6eTpMmTaLffvuN3NzcKDw8nBYvXvxEP1wU/Y/v89q1axQVFUU7d+4kiURC7du3py+++IL/THzeaygvkpKSKDg42C7Xmy3ctcSZKp9mROLMThaLhTdglfT64JKZiIg3d1qt1kJGL6K/r2WuNPDjGri/2xqtODMqh70StTjNXElZTj/3s4uLC5+e5ezszBtJ5XI5eXh48Ola3t7efF/FlUYkKmx8sjVHSSQSvuSNrWHLtsygbTseHh60a9cumjBhAjVq1IjWr19PtWvXttsxqOikpaWRTqejJUuWULNmzWjp0qUUFhYmtKwKw/79++nTTz+lrVu3UosWLWjatGk0cuRI3uTHeJK8vDxat24dLV26lI4cOUKtWrWiyZMn0/Dhw5mBoJRYLBbasWMH/fjjj2QymcjNzY1GjRpFkZGR1LRpU6HlOTQWi4X27dtHK1eupI0bN1JeXh716NGDVCoVDRo0iBnp7Ehubi7FxcVRTEwMbdy4kXJycqhdu3akUqloxIgRbFFdGXP16lWKjY2lmJgYOnDgAPn6+lKfPn1IpVJRr169nrivZNifxMRE2rBhA23ZsoV+++03kslk9Oqrr5JKpaLXXnuNlW4UCFsTamxsLKWlpfGlG/v160ehoaFCS2QwGBUEZvpiVDoKCgpo9erVpNPp6OLFizR48GCaOXMmi46uwOTl5dHatWvps88+ozNnzlBYWBhFRUVReHh4oQkfhuPy8OFDiomJoaVLl9KZM2fYSr9KRkFBAX3zzTek1WrJ2dmZdDodqdVqdv2WIY8ePaLIyEhavXo1ffzxxxQVFSW0pApDVlYWhYeH09mzZ2nv3r1VssRsUlIS9e/fn65fv06bN2+m9u3bCy2pwlJQUEA//PADffDBBySXy+mTTz5h/VcpSUtLo6ioKFq+fDmpVCpatmxZhR0gz83NpezsbEpLS+NTuDhzVFpaGuXn55PZbOaNVunp6ZSfn08ZGRm8McpsNlN+fn6hNriUL86I9Ty4RBUuXYJLVeGMAFwSi0gk4suic+kt3HM5k4GtqYBLZOFMBJzpzDaV5XmJFrZmMS5tzdYsRvT3e84NK2RkZND9+/dp+vTp1Lp1axoxYgQREX+cCwoKKCsri/85NzeX0tPT+TKOZrOZAPBl07jEspycHH7feXl5vDGEM4kQFd1cVlLq1q1LV69eLdf+4XlJVK+99hpt3ryZunTpQnPnzqWXX36Z/vrrLwoLC6OkpCTKz8+n9u3bU25uLv3www/UuXNnunHjBr3zzjt05MgR2rt3L/8ZsWXLFurXrx8tWLCAxo8fTxaLhdasWUNTpkyhadOm0cKFC0ukbeDAgTRz5kxq0qQJbdiwgUaNGkW9e/cmuVxOc+fOpQYNGtDq1atp/PjxNHXqVFq8eDHfxt27d4us33afERERFBUVRS1atKBDhw5R//79qVmzZnT06NFivYbyYOrUqaTX60vVhkQi4a8Fzkhlb2xTw2wT+oiokEmrODyt3KxcLudLGspkMlIoFHy/5enpyZdy9PHx4ZMbPTw8yMnJiT93DAYDVatWjWQyGdWsWZM3wdimV1V0CgoKaObMmfT555/TxIkTafHixVXGlGK1WumHH36gmTNnEhHRggULaMyYMYXMi1WZHTt20IIFCyg+Pp46d+5MM2fOpJ49ewotq0Jz//59+vHHH2nZsmV0+/Zt6tOnD02ePJmUSqXQ0hye8+fP008//USrVq2iu3fvUufOnemtt94ilUpVqFQ7o/gcO3aMVq5cSWvXrqX79+9TaGgoqdVqZj6yM7ZGr02bNlFWVha1b9+eVCoVDRs2jPz8/ISWWKk5c+YMxcTEUExMDJ09e5aqVatGvXv3Zul15Qg3bsilqrm4uFC3bt1IpVLRwIED2cJugXj48CHt3r2bYmNjaePGjZSdnU3t27enfv360cCBA1nlDwaD8VSY6YtRabFarbR161aaP38+JSQkkFKppPnz57OJzwoMlwz1xRdf0NatW6l58+b0zjvv0KhRo9hgQSXi2LFjtHz5clq1ahXJZDIaNmwYS/+qJKSmptK8efPo66+/ppYtW9LSpUupQ4cOQsuq1HzxxRc0bdo0GjNmDC1btqzKTAY9D1vj1549e6pkgmR2djaNGDGCduzYQT/99BMNGzZMaEkVGq7/WrZsGbVu3Zq+/PJLatu2rdCyHJrt27fT+PHjyWw2k06no8jISKElCUJ+fj5lZmY+1TiWmJhIH3/8Md27d4/eeustqlmzJhH9Y67izGOcwcw2jYszlHElC7lSlNz+iott+S5bI5jtdlvDhG1Kja3RjOhvs9nVq1dp3bp1pFKp+JWntmk2ts8nKlxWjOPxdjk8PT2fmPxXKBR0+vRp6t69O8XHx5O7uztlZ2eT1Wql7OxsSk5OphkzZtDNmzeLfWw49Ho9TZ48ucTPLwlFNVZt27aNevfu/cTf33zzTTIajbR69WregEf0tzm4bt261KxZM0pISCCiv01fixYton379hVqQ61W06+//krJycmF3o+iatu6dSv16dOH396sWTM6c+YM/f7779S5c2d+e3BwMMnlcjp//nyJ9NvuMzY2lsLDw/ntKpWK1q1bx6efFfU1lAd37tyhoKCgUqfQFQd3d3cSiUQkkUj4iRzOOCoWi8nNzY0kEgmfZsX9fdeuXeTn50d9+vThzaPcdWprSuWew12rnEmVM6Dalh+0F2PHjqX169fTsWPHKDg42K5tlzd37tyh4cOH0x9//EHffvstjRo1SmhJ5cbu3bvpvffeozNnztDEiRNp3rx5/HlVleHGNz/66CM6evQohYWF0bx58+jVV18VWlqF5vjx42QwGGjVqlUkl8vpjTfeoGnTplGdOnWElubQZGRk0KZNm2jVqlW0Z88eqlWrFr3++us0duxYatCggdDyHJrz58/T2rVrafXq1XT58mU+yUWtVrMEbztim562efNmyszM5I1eQ4cOJX9/f6ElVmo4o1d0dDSdO3eOqlevTr169WJGr3LkzJkztGXLFoqNjaUDBw6Qj48PXz6zR48eDrNIorLxeElNq9VKbdu2JZVKRUOGDOHHixgMBuNZMNMXo0qwe/dumjNnDh06dIhPkerXr5/Qshj/wqlTp2jRokW0du1a8vHxofHjx9OkSZPI19dXaGkMO/Gs9K8RI0awVSQOzvnz52nKlCm0a9cuGjx4MH3++edVqhRJebN9+3YaPnw4NWvWjNavX89WIv4/zPj192Dm1KlT6auvvqI5c+bQ3LlzhZZU4Tlx4gRNnjyZDhw4QCNHjqTPP/+catSoIbQshyUjI4Nmz55NX331FfXq1Yu+/fZbCgoKElpWhSI3N5fGjRtHa9eupY8++shuyY22aVxcOUfOeMYlklmtVkpPTyeif4xmttuICqd4cSY0IuJNZkRUyGhm+/zExERKTk6mgIAAkslkhZ5vrxKSxUEul/OpZUXh8cSko0ePUps2bcpC2jMpqrEqOTn5qd+TvLy8yGw208OHD58w0IWGhtLx48cpMTGRAgMDn6mBK4V48ODBQguoiqrt3r17hfrRHj16UFxcHGVlZfEl8IiIOnXqRKdOneLLmpZEP7fPpKSkQvdD06ZNoyVLltCpU6eoRYsWRX4N5cULL7xAZ8+eJVdXV8rJySEAxUrr2rlzJyUlJdEbb7xBJpOJTzm1NVeW1miVl5dHXl5e9PXXX9Obb75Z4nbKgm+++Ybeffdd2rhxI/Xv319oOaVi3759NHLkSHJ3d6fo6Ogqk1h/4cIFmj17NsXExJBSqaTFixdT8+bNhZYlODk5OfTjjz/SokWL6MaNG6RSqWj69OnUqlUroaVVWCwWC23bto2WLl1Ku3fvpiZNmtD48eNp3LhxhT5zGMXDarXSwYMHadWqVfTLL79Qfn4+9e/fn9RqNTNplJIbN25QdHQ0rV27lo4fP06BgYE0fPhwGjlyZJX5DCgP8vLy+PJomzZtooyMDOrQoQMNGTKEBg8ezMwUZQxn9Fq7di1duHCBgoKCaMCAAaRSqahDhw4szbMceNxsZ5uqxspnCsepU6do69atFBsbS0ePHiWFQkG9e/emgQMHUp8+fVhJTQaDUTzAYFQh4uPjER4eDiJCq1atEB0dDavVKrQsxr9w9+5daLVa+Pj4wNnZGWq1GufOnRNaFsPOJCQkIDIyEi4uLvDw8EBkZCSOHz8utCxGKTGZTKhXrx5cXV2h1WqRk5MjtKRKy4ULF9C4cWMEBgYiISFBaDkVhszMTLzyyiuoUaMG/vrrL6HlCIZer4dYLMbYsWORn58vtJwKj9Vqxc8//4yAgAB4e3vjiy++YMetlOzbtw/169eHl5cXli9fzu6/H8NqteLDDz/kr9Pc3FyhJdmF3NxctG7dGi1atHjuPYDZbEZqamqhx927d3HlypVCj0uXLiEhIeGJx969e7Fr1y44OTnhvffeQ1xcHEwmE6Kjo/lHQEAAiKhID6lUCiJC9erV+W23b98upyP3D66urggLC3vm3yMiIkBETz2+ubm5RXqte/fuBQCkpaVh9uzZaNasGby8vJ74v927d9tFW8+ePSGRSJ74/y5dusDV1bXE+v9tn1FRUSAinDhxolivobwICwsDESEgIAAPHz6E0WhEjx49IJFIinQMHj16hJMnT4KIcOHChTLReODAARARLl68WCbtl5T9+/dDLpdj/vz5QkspFVarFTqdDhKJBAMGDEBaWprQksqFlJQUREVFQS6XIyQkBFu3bhVaUoUgPT0der0etWrVgpOTE9RqNc6fPy+0rApNUlISPvroIwQEBEAikWDQoEH47bffhJbl8CQmJkKn06F+/fogIoSGhkKv1yM5OVloaQ5NYmIiFi9ejHbt2kEkEsHX1xdjx47Fvn37YLFYhJZXacjKysK6deswYsQIeHp6QiQSoV27dli8eDESExOFllepyc/Px969ezF58mTUrVsXRIS6devivffew+HDh9l4QDnAvQdTpkxBnTp1+PfgP//5Dw4cOMD6GoHIyspCbGwsxo8fj6CgIBAR/P398dZbb8FkMrG5EwaDUSqY6YtRJTl+/DhUKhVEIhGaN28Oo9GIgoICoWUx/gWz2QyDwYBGjRpBLBYjPDwccXFxQsti2Jn79+9j4cKFaNSoEYgIbdq0wVdffYWUlBShpTFKyKNHj6DX6+Hu7o769esjOjpaaEmVluTkZHTt2hVubm5Yt26d0HIqDGazGZ06dYKfnx9Onz4ttBzB2LhxIxQKBXr06IH09HSh5TgEWVlZ0Gq1cHZ2RuPGjVn/VUqysrIwbdo0SKVSdOzYsUobMZ/F5s2b4eHhgTZt2uD69etCy7ELly5dgoeHByZOnFgu+2vbti3efffdp/4tODj4X40zcrkcRIQGDRpAq9XiwoULmD9/Pv/3o0ePlstrsMXNza3Epi8A8PLyglQqLZJxtVOnTiAifPHFF7h//z4/GbNkyRIQ0RPfvUqqraimr+Lq/7d9Psv09bzXUF7Url0bRISWLVsW2v7w4UNER0djyJAhkMlkzzx3MzMzcfr0aRARzpw5UyYaP/30U/j5+ZVJ2yXlxo0bqFGjBl577TWHnjy8f/8+evbsCScnJ+j1eqHllAt5eXnQ6/Xw8vJCtWrVoNfr2Zgc/ln06OnpCQ8PD2g0GkEMx46C1WrF3r17MWTIEMjlcvj6+mL69Om4ceOG0NIcmoyMDBiNRnTr1g1isRj+/v547733qvR3aXuQnJwMo9GI8PBwSCQSeHp6Qq1Ww2Qy4dGjR0LLqzRw905qtRpubm4Qi8UICwuDTqfDpUuXhJZXqcnMzMT69esxatQo+Pr6gojQtGlTvP/++/jjjz+EllclSEtLw9q1azFixAh4e3vz78HMmTPZAmEBSUpKgtFohEqlgpubG/++REVFIT4+nhnwGAyG3WCmL0aV5sSJExg8eDDEYjFCQkKwYsWKSrOyvrJisVhgMpnQoUMHfpWZwWBAVlaW0NIYdsRqtWLfvn0YNWoUXF1d4eTkhMGDB2PLli0sbcVBSUxMxPDhwyESidC9e/cnJt0Y9iEvLw8TJ06ESCTC9OnT2eTJ/2M2m9G5c2dUq1atSg90HDp0CNWrV0erVq3YZEgxuHLlCoYMGQKRSIQuXboIYvyoTJw8eRLt2rWDVCqFRqOB2WwWWlKF4uLFi2jevDl8fX2xfft2oeXYhXXr1kEkEuH7778v831NnDgR7du3f+rfOGPN04xeAQEB0Gg0OHbsWKHnxMbG8v+7YMGCMtf/ODVq1ECbNm343xs1agSDwcD//jzT15gxY0BET0070el0CAoKQn5+PgoKCviJ3cdZsGDBU01fJdVWHNNXUfU/b5/PMn097zWUBxcuXODPsdGjRz/z/9LT07F69Wr06dOHT6LjHg8fPsT58+dBRDh16lSZ6OzXrx8GDRpUJm2XhOzsbLz00ksICQlxaDP777//jlq1aqFOnTo4fPiw0HLKBZPJhPr160OhUCAqKsqh3z97cenSJWg0Gjg7O8PPzw9arRYPHz4UWlaFJS0tDQaDAc2aNWPjgnYiLy8PsbGxGD58OBQKBeRyOQYMGACTycTG4EpBSkoKb/SSSqVwcXFBeHg4jEYjO1/tiK2hTi6XQyKRICwsDHq9Hnfu3BFaXqWGO/acmUUsFiM0NBRarRZnz54VWl6V4Pr16zAYDE+c/zqdjr0HAmGxWJCQkACtVovQ0FCIRCIoFAoolUro9XrcunVLaIkMBqOSwkxfDAaAs2fP4o033oBcLoefnx/mz5+PBw8eCC2L8Rzi4+MxdOhQyOVyVKtWDVFRUbh27ZrQshh2Jjs7G9HR0VAqlRCJRPDx8WHlHx2Y+Ph4tG3bFmKxGK+//nqlSTKpaPz8889QKBTo3Lkz7t69K7ScCkFWVhZ69eoFNzc37NmzR2g5gnHlyhU0b94c1atXZyVPisnRo0fRpUsXiEQiqFQqXLlyRWhJDovVaoXRaISvry8CAgJYOuFj5OTkYMyYMRCJRIiKiqoUKz9nzpwJmUyG+Pj4Mt3PihUroFAonjpBqVarIRaL+cQkf39/TJ8+/V/vKc1mM78at27duuWexNCrVy94enri5s2bOHjwIKRSaaHB++eZvu7du4f69esjODgY27ZtQ1paGlJSUvDtt99CoVDg119/5f+3W7duICJ89tlnePDgAbKzs7F3717eLPe46auk2opj+iqO/n/b57NMX897DeXBO++8w5u3itoXms1mrFmzBv3794eTkxPu37+Pc+fOgYjw559/2l2j1WqFr69vhUmhslqtGD58OHx8fBw2tcNqtUKv10Mmk6F///5ITU0VWlKZc/ToUXTq1Im/j2JjN0BCQgLUajUkEgkaNGgAvV7Pyvr8CwkJCYiMjISrqyvc3d0RGRnJFpOVkoSEBGg0Gvj5+RUq33j//n2hpTksXJnm8PBwyGQyODs780avzMxMoeVVGm7cuMEbXR431DHTbNly9epV6PV6KJVKSKVSODs782YWZrIrH06fPl3IUOTq6orw8HAYDAYkJSUJLa9KkpmZCZPJhMjISNSsWRNEhHr16iEyMhImk4kFjTAYjHKBmb4YDBuSkpKg1Wrh6+sLJycnqNXqMiuPwLAfSUlJ0Ol0qF27NsRiMZRKJUwmk0OXeGA8nZs3b0Kn06F+/fp8FK5Op8O9e/eElsYoJiaTCQ0bNoRcLkdkZCR7D8uAEydOIDg4GAEBATh06JDQcioEjx49gkqlgkKhqDQJOiXBbDZj8ODBkEql0Ol0QstxOOLi4vDCCy/w/RebFCk5d+/ehVqtBhEhPDycJdA9hsFggFwuR7du3Rz+c9JisaBv376oWbNmmZaqOnHiBIjoqeVDx44di+rVq2Py5Mk4ePBgkb8rTJw4kTflfPjhh/aW/K+cP38enTp1gqurK4KCgrBs2TIAfyc3Pq3M39NISUnBtGnTEBwcDJlMhurVq6NHjx5PmLgePHiAt99+G0FBQZDJZPDz88Obb76JGTNm8O2HhoaWSNsHH3yAP/7444ntn3zyCeLj45/YrtVqi6X/WfsE8MT2vn37Pvc1lBenTp3iTYhBQUHIy8srdhuZmZnIy8vjj29ZGJK50pEVJS31k08+gUQicdh7ueTkZD6xTafTVfpxi8TERERGRkIsFqNdu3Y4ePCg0JIEhUuv79ixI4gIHTp0wKZNmyqFwbssyMjIgMFgQKtWrUBECAkJgU6nqxJGybLi2rVr0Ol0aNiwIX9MtVotLl++LLQ0hyUtLa1Q0pSt0SsjI0NoeZWGK1euQK/XIywsrJDRhR3nssfWZERE8PHxgUqlYse+nMjOzkZcXBw0Gg0CAgJARKhTpw5vKGIlYsufgoICHD58GB9++CE6deoEqVQKqVSKLl264LPPPmMpawwGQxCY6YvBeAq5ubkwGo0ICQmBSCRiJiIHoaCgACaTiU+EatCgAXQ6HVJSUoSWxigDuFWe7u7ukMvlCA8PR3R0dIkmSxjCkJeXB4PBAH9/f7i5uUGr1SI7O1toWZWK9PR0vPbaa3Bycqow6QxCU1BQgDFjxkAulyMmJkZoOYJhtVqh0+n41D127RUPrv/y8/ODj48PdDodW7lXCvbt24cmTZpAoVBAp9OxMjI2JCQkoF69eggKCnL40l/p6ekICQlB+/bty2xgOi8vD87Ozvjpp5+e+NvNmzdLNKmelJQEDw8PEBFkMhlLSWTYhdTUVDRp0oQ3o/3888+lam/fvn0gojIxiH777bdwd3evEH3zzp07IZFIsGTJEqGllIijR4/yffqBAweEllOmZGZmQqvVwsXFBQ0bNkR0dHSVHlPLycnB8uXL0aRJE4hEIvTt2xf/+9//hJZVYTl79iyioqLg7e0NJycnqFSqJ8zKjKKTnJwMg8HAm2Vq1aoFjUZT5gmslZns7GyYTCao1WooFApIJBIolUoYjUZWttaOPG428vX1hVqtZkaXMqagoADx8fHQaDQIDAx8wieQbOMAACAASURBVGTExt7LngcPHvClM93d3fnF71qtFgkJCVX6nkoorl27BoPBgMGDB8Pb2xtEhICAAIwePRpr1qxhhnQGgyE4zPTFYPwL3Ao8pVIJIsKLL74Ig8HA4tYdgPPnzyMqKgpeXl5wdnaGWq3GyZMnhZbFKAOeVf7x2LFjQktjFJHMzEzodDp4eHggMDAQBoMBBQUFQsuqNNiae9RqNbKysoSWJDhWqxVTp06FRCLB999/L7QcQdm6dSu8vLzQvn17FsVfAsxmMz+hWbt2bRiNRjb4VkJycnIwe/ZsODk5oVWrVjhy5IjQkioMDx48QI8ePeDs7AyDwSC0nFJx/vx5eHp6YsKECWW2j5dffhnvvPOOXdtcuXIlb87x9PRk5yejVDx8+BAdOnTgz6kBAwaU+rNjy5YtIKIyuc8bPHhwoYQ0obhw4QK8vLygVquFllJsuHKO3GKlyrwwzWKxwGg0wt/fH97e3lXeGP/gwQPodDrUqlULcrkcarX6qWmUjL/N4cuXL0fbtm1BRGjcuDEWL15cqa+XsiQjIwMrV67kyyp7eHhg9OjR2L17N0uWKyGpqamIjo6GWq2Gm5sbJBIJwsLCWElMO5Kfn4+9e/di6tSpqFevHogItWvXxuTJk/Hbb7+xscIyJDU1FWvWrMHQoUP5BS+tW7fGvHnz2JxKOWGbZicWiwuVzrx165bQ8qocmZmZiIuLQ1RUFG88VSgUUCqV0Ol0zHzHYDAqHMz0xWAUkePHj0OtVkMmk8Hf3x9arZYNPDgAXBR8s2bN+JIkRqORrUippFy9ehVz585FcHAwiAitWrXCkiVLyrSMEMN+3LlzB5GRkZBKpWjRogW2bdsmtKRKRWxsLLy8vBAaGopLly4JLadC8MEHH0AkEjlsWoS9OHv2LBo1aoRatWqxUqAl5ObNm1Cr1RCLxWjbti1LIigFly5dQo8ePSASiaBWq5GUlCS0pAqBxWLBnDlzIBaLMWzYMKSlpQktqcSsX78eIpEI33zzTZm0P336dDRu3Nju7U6ePJk36bi4uFTptEhGybl69SpCQkL4c6l58+Z4+PBhqdtdu3YtxGKx3SceCgoK4OPjI3hibEZGBl544QW0bt3a4dJJ09PT+bLaWq22Upst4uLi0KJFC8hksipfAvvy5cvQaDRQKBTw9PSERqNhE7bPID4+Hm+++SZcXV3h7OyMESNGYM+ePWwitQTYpk+5uroWSp/KzMwUWp5DcvfuXXzzzTfo3r07ZDIZnJyc0KdPH6xYsQLJyclCy6sUpKam4pdffsGwYcPg5eXFJxrNmDEDR48eZX1BGcKZjJRKJWQyGW9k1Ol0uHjxotDyKj1ZWVl82cY6deqAiFCtWjWo1WpER0ez0pnlTEFBARISEqDT6aBUKiGXy/n+KCoqCnFxcVV6IQODwaj4MNMXg1FMbty4gf/85z/w8PCAm5sbJk2ahHPnzgkti/EcrFYr4uLiMGDAAEgkEtSsWRMzZsxgX2AqKVarFb///jtGjx4NDw8PiMVidO3aFcuXL2dmTQfg/PnzUKlUEIlEaN++PUwmk9CSKg2XL19G69at4ebmVuUTrjgWLlwIsViMCRMmVIiyRULx8OFD9OnTBzKZDJ9++mmlnpAsS44fP47evXuDiPDKK69g//79QktyWEwmE+rWrQtXV1dotVo2uPb/7NmzB7Vq1UKdOnUc+vyaP38+pFIptm7dave24+LiQES4du2aXdu1WCyIjIzkzToikQjz589niQOMIrNv3z7UqFGDP4eaNWtmt8UpK1asgLu7u13asuXQoUMgIpw9e9bubRcVi8WCfv36wd/fH4mJiYLpKAnHjh1DcHAwAgICKnUZtXPnziE8PBxEBKVSidOnTwstSTASEhKgVqshkUgQHBwMvV7PzDZP4e7du9Dr9WjevDk/oarT6fDgwQOhpTkc2dnZWLduHVQqFRQKBaRSKXr06IEVK1aw8a8ScuPGDd4II5VK4eLigvDwcBiNRodeeFGRuHr1KgwGA8LDwyGXywuZjYS856js2JqMateuzZuMVCoVjEajXRYiMP6dkydPQqfT4ZVXXoFMJoNYLMbLL7+MOXPm4PDhw2wsrpzh+qJBgwbxJRsDAwMxZswYrFmzht2XMBgMh4KZvhiMEpKeno7FixcjODgYIpEIXbt2RXR0NEuQcgBu3LiBWbNmITAwECKRCJ07d4bRaGQlzyopubm5z1zpyFbMVGwOHTrEmyfatWvHkr/sRH5+PrRaLSQSCQYMGMBWp+Lv1BlXV1colcoqPchlW3qoW7duLCWxFBw8eBDdunXjJz//+OMPoSU5JFlZWXz5zIYNG2LLli1CS6oQ3L9/H3379nX41Jjx48dDoVDYvVRiTk4OFApFmZXC1Ov1EIvFvHGnZcuWSEhIKJN9MSoH6enp0Gg0hc4bpVJp14njDz/8EA0bNrRbexzz5s1DQECA3dstDjNnzoRMJsP//vc/QXUUF4PBACcnJ3Tt2hV3794VWk6ZkJycDI1GA6lUitatW2Pfvn1CSxIEi8UCk8nEl23lEuar8oKSp2GxWBAXFweVSgWZTAZPT09ERkZWakNkWWE7zsUtdOTKDLKU3JJhW1ZNJBLBy8uLN8KYzWah5Tk8FosFCQkJ0Gq1fJk0b29vZjYqB65cucIb7JycnCAWixEaGoqoqCjEx8c77HdJR8FsNsNkMiEyMhJBQUGFjHYGg4GNu5Uzd+7cQXR0NCIjI9G0aVNWspHBYFQqmOmLwSgltoMWUqkUfn5+iIqKsvvKcob94d47tVoNFxcXeHh4QK1Ws5JMlZjs7GxER0fzK8mcnZ351XrM9FdxOXLkCPr27QsiwssvvwyTycQGJezAvn37EBQUhICAAMTGxgotR3ASEhIQEBCAkJCQKr+y9I8//kCDBg1Qo0YNbN68WWg5Dk18fDw6derET/CfOHFCaEkOSWJiItRqNX8cz5w5I7QkweFMmpyhwBEHi/Py8tCjRw/UrFkT169ft2vbr732Gnr16mXXNm2JiYmBm5sbb+CRyWT44IMP2IICRiGsVitiYmIQEBDAnytEVCbpohMmTMArr7xi1zYBoGPHjhgzZozd2y0qXDnY5cuXC6ahuGRkZGDo0KEQiUSIioqqlN9bHj16BL1eD09PTwQEBMBgMFTJ1EOz2QyDwYBGjRpBLBYjPDzcoVM4y4qLFy9Cq9XyqTKhoaEwGAwsAa2YFBQU8GOYnp6ehYxed+7cEVqeQ3L69OlCJiRfX1+o1WqYTCY8evRIaHkOT1ZWFm928ff3BxGhXr16iIyMZMe4DMnPz0d8fDyioqJ4U4ubmxvCw8OZyaicOH36NF8ikCubyYx2wnDr1i2sWrUKb731FurXrw8igpOTE7p06QKtVovffvuN9UUMBqPSwExfDIYduX37NnQ6HYKCgiAWi6FUKhEdHV0lB78cjdTUVBgMBrz44osgIoSEhECn0+H+/ftCS2OUEampqTAajQgPD4dUKoWnpyc/uMMS+yomCQkJ6N+/P0QiEUJCQvDdd9+xcl+lJDU1lTdSDB06tMqvCr516xbatWsHNzc3rF69Wmg5gpKRkYE333wTRITXX3+dJcKVkri4OLRu3RpisRgqlYqVly4he/fuRYsWLSCTyaDRaJCeni60JME5duwYGjZsiOrVqzukgTcjIwMtW7ZE06ZNkZqaard2V61aBZlMVqZljW7fvo2IiIhCZh5fX19otVpm/mIgLi4OL730UqHzo1atWti0aVOZ7K9///4YOXKkXdtMT0+HTCbDmjVr7NpuUTl58iRcXV3x7rvvCrL/knD06FHUr18f/v7+2LNnj9By7I7FYsGPP/6I2rVrw9XVFfPnz6+Si6du3LiB6dOnw9vbmz9HL1++LLSsCkVmZiaMRiM6d+4MkUiEwMBAzJo1C1euXBFamkNRUFCA+Ph4aDQaVK9enTfN6fV6ZtwoAbZpU40aNQIRISgoiDchsXS+0nP9+vWnpkpptVqWjFuGJCUlwWg0QqVSwcPDA0SE4OBgaDQaxMXFsXHuMiY5OZlPj+IWe1SvXp1PsmOldsuPpKQkREdHQ6PRIDQ0FCKRCFKplDfdxcXFITs7W2iZDAaDUSYw0xeDUQYUFBTAZDJBqVTygxtarZYZiByEhIQEaDQa+Pj4QC6XIzw8HNHR0ezLfyXm1q1bhWLcfXx8+NQ3Fulb8bh06RI0Gg1cXFxQo0YNaLVaZkgpJdu3b0edOnXg5eUFg8FQpc/7/Px8REVFQSQSQa1WV8mJLFu2b9+OoKAg+Pn5ISYmRmg5Do3VakV0dDQaN24MmUwGtVrNJr5KQH5+PpYuXQpvb2/UrFkTRqOxyq+UzcjIgFqthkgkwtSpUx3OEH379m0EBQWhS5cudtOelpYGuVyOH3/80S7t/RsrV66Er69vIXOPv78/Fi1axErVVDEKCgqwefNmtGvXrtD5IBaLMWnSpDItDxUaGorp06fbtc1ff/0VUqlUkPvsW7duITAwEN26dXOIiUqLxQKdTgeZTIbu3btXynKOW7ZsQbNmzSCVSjFu3LgqmSy0f/9+PuW/Vq1a+Pjjj9lErg1cmv6oUaPg5uYGuVyOQYMGYevWrWwxbDHIyclBbGwsRo8eDR8fH4hEIrRr1w6LFy/GzZs3hZbncGRnZ2Pr1q0YP348atasCSJCo0aNMGPGDBw9erRKj33Yg4KCAhw4cAAzZ85EixYtQETw8PCASqXCypUr2VhdGZGfn4/ff/8dM2bM4I+7q6srIiIiYDAYWF9RxnAGUi7NSyqV8mlenMGR9S3lw717954wedkmq5lMJrZYkMFgVBmY6YvBKGMuXLiAqKgo+Pr6Qi6XQ6VSsfKBDkJmZiZ+/PFHdOzYEUSE2rVrY86cOax0ZyXn4sWLmD9/Ph+BXadOHUyfPh2HDh1iX9gqGHfu3MGMGTPg5eUFV1dXTJw4EadPnxZalsNiNpuh0WggFovxyiuv4OTJk0JLEpR169bB09MTLVq0qPLH4uHDhxg9ejSICIMGDcKNGzeEluTQ5Ofn44cffkCdOnXg5OSECRMmsHuLEpCSkgKNRgOJRIIXXngBW7ZsEVqS4KxcuRLu7u5o3ry5w5USPXnyJNzd3TF06FC7TQwPHDiwTMrdPQ2z2QydTgcvL69CZh9nZ2eo1WqHez8YxePhw4fQ6/WoV69eofdfJBIhPDy8XN5/f39/6PV6u7Y5dOhQdO3a1a5tFgWz2YwXX3wRISEhdk0ALCvu3buH3r17QyqVQqvVVjoj8pEjR9C1a1e+xPKff/4ptKRy5dGjR4iOjkb79u0LlSbMyckRWlqF4dy5c9BqtXwf2LRpU+h0Oty7d09oaQ5DRkYGfv31VwwZMgTu7u680WvhwoV2L4FdFbh79y6+++47REREQKFQQCQSITQ0FPPnz8dff/0ltDyHJzExEStWrIBKpYK3tzeICHXr1sWkSZOwa9cuViqtjLhy5QoMBgNUKhX/nSM4OJhPqnO0hT+Oxvnz57Fs2TIMGjSIX/ATFBSEcePGYf369cxYVE7cvXsXMTExeOedd/i5G6lUinbt2mHGjBnYsWMHKx/NYDCqLMz0xWCUE5mZmfjuu+8QGhoKIkKzZs2wcOHCKrk60hG5cOECtFotateuXShOvTKu4GX8w8mTJzFjxgy+5nutWrUwceJEFo1dwcjIyMCSJUvQoEEDEBG6dOmCtWvXsoGmEnLkyBG0bdsWEokEkZGRVXqw/vLly+jYsSPkcjnmz59f5RMfd+zYgYYNG0KhUODjjz9mg4ql5NGjR/j6669Rt25dyGQyvPHGGzh37pzQshyOs2fPQqVS8ZPRx48fF1qSoFy7dg1du3aFVCpFVFSUQ92v7N+/H66urnjjjTfsYpqIjY2FSCTCpUuX7KCuaCQnJ2P69OlwdXUtZP4hIoSFheHbb7/FgwcPyk0Po+zIy8vDli1bMHLkSDg5OT3xfoeHh5dbf5SdnQ2xWIwNGzbYrc3c3Fx4eHhg6dKldmuzKBQUFKB///6oVq1auV67JWXnzp3w9/dH3bp1cfDgQaHl2JXz589DpVLx5pPff/9daEnlyr1796DT6RAYGAixWIzw8HC2gNOG1NRUGAwGhIWFgYgQEBAAjUZT5RfLFIeUlBS+HJurqyskEgnCwsKg1+tx69YtoeU5HKdPn4ZOp0NYWBjEYjGcnZ2hVCqh1+uRmJgotDyHJj8/H/Hx8YiKiuKTdFxcXKBUKqHT6ViqURmRlJSE1atXY/To0QgMDAQRwcvLCwMGDMCyZcsc4j7Jkbl58yZ++uknqNVqvmSju7s7+vbti0WLFrFFx+XElStXYDQaERkZiaZNmxZK8tJoNIiOjmbp2gwGg/H/MNMXgyEAR44cwdtvvw1vb29IJBL07t0bv/zyC6sn7QDk5+fzg/tubm6QSqXo1asXjEYjW9FRybEdQBKJRPD29oZKpYLRaERGRobQ8hj4O157x44diIiIgEQigb+/P2bNmsVizUuA1WrFqlWrEBAQAE9PTyxcuLDKGnwsFgsWLVoEFxcXvPTSS1V+ZXBubi4+/vhjKBQKNGzYEFu3bhVaksNjsVgQHR2NkJAQflLx6NGjQstyOA4cOMBP8qhUKly9elVoSYJhtVphMBigUCjw8ssvO5SZcNeuXXBycsI777xT6smj/Px81KpVC++//76d1BWdtLQ0GAwGfvWx7cN2UpcZwBwLi8WC+Ph4aDQa1KhR44n31t3dHZGRkTh16lS56jpx4gSICGfPnrVbm1u3boVIJCr3dM93330XLi4uOHToULnut7jk5uZCo9Hw5cDLsnRneXP//n1oNBpIpVKEhIQgOjpaaEnlyokTJxAZGQkXFxd4enpCo9GwlNv/Jzc3FyaTCSqVCnK5HC4uLlCpVDCZTKx8YxG5f/8+jEYjwsPDIZPJChmTkpKShJbnUOTk5CAuLg4ajYZfoFu9enWo1WpER0ezcbpSYpsq5eHhUShVih3fsiE7OxtxcXG8uU4sFkMqlfJl6tgC5LLlwYMHMJlM/PHnEqRsjz9bXFy25OXl4dChQ/j8888RERGB6tWrg4igUCjwyiuvYPbs2di+fTubg2MwGIxnwExfDIaA2A6YyGQyeHh4QK1WIy4ujq2QcQBycnIKDXg5OzsjPDwcRqMRWVlZQstjlCHXr1+HXq+HUqmEVCqFi4sLwsPDYTAYqnQqUkXi9u3b0Ol0CAoKglgsRlhYGAwGA4t4LiZZWVnQ6XRwc3NDUFAQ9Hp9lS1lcuXKFXTu3BkymQwajQZpaWlCSxKUW7duQa1W8+k18fHxQktyeCwWC0wmE9q0acOnVh04cEBoWQ6F1WpFdHQ0GjRoALlcDo1GU6VXfZ49exZt2rSBs7MzdDqdw5Qc27hxI6RSKaZMmVLqtubNmwcfHx/BPv8tFgu2b9+O8PBwSKXSJ0xCcrkcr776KhYuXFjlTcUVlXv37mHVqlUYMWIEqlWr9sR7yKV4L1u2TLAJ0DVr1kAqldp1Imrs2LF46aWX7NZeUfj8888hFouxfv36ct1vcTl37hxefPFFeHh4YNWqVULLsRtcmVp3d3cEBgbCYDBUGSMPdw+mVCohEonQqFEj6PV6Nq7z/yQkJECj0aBatWqFvltXJrNjWXLt2jXo9Xp+AaFCoeDHDtnEdfF48OABn47GGZGaNm2KqKgoxMfHO8y9bkUkKyuLNxxxixZcXV15UyIrM2p/LBYLEhISoNPpoFQq4ezs/IS5rqqPO5UlmZmZT5jsuASpqKgomEwmZm4sY8xmM+Lj4/lrQKFQgIhQo0YNhIeHQ6fTIT4+vsouQmYwGIziwkxfDEYFISUlBQaDgV9JEBQUhKioKBbV6yA8fPiQX60nlUrh6ekJtVoNk8lU5cuBVXaSk5P5997JyYlF8lcwHj16hHXr1hW6NseNG4f9+/czc20xuHfvHqKiouDs7IzatWtDr9dXyS/dFosFRqMRNWrUgK+vL/R6fZUfWD548CC6dOnCm5T+/PNPoSVVCuLj49GtWzfeVGcymYSW5FDk5eXBYDDAz88PPj4+0Ol0Vdawmp+fD51OB7lcjg4dOjjMd4uYmBhIJBLMnTu3VO3cv38fLi4uWLZsmZ2UlU7LsmXL0LlzZ4jF4qeah4KCgjBu3DisWbOG3UcKhNlsRlxcHGbNmoWXXnrpme9VcHAw3n///XJP9XoaWq0WjRs3tlt7FosF/v7++Pjjj+3W5vOIjY2FRCLB4sWLy22fJcFoNMLV1RVt2rRxmP70eeTk5GDJkiWoVq0avL298dlnn1WZz8zU1FR8/vnnqFevXqESjux7InDx4kXMmzcPDRo04M2tn332GftsKiInTpzAnDlz0Lx5cxARqlWrhjFjxiA2NrbKXF/24t/KNrJU99Jx5coVfkErV6qaM9GxVKOywTZBzcfHhze4qFQqGAwGdk6XIfn5+YVMdnK5/AmTXWpqqtAyKzV37tzh09TCwsIgk8lARKhZsyZ/DZw+fZrdhzEYDEYJYaYvBqMCcvr0aURFRcHf3x9EhNDQUBgMBrYCzEG4fft2oVV8vr6+iIyMRHx8PLtpreSkpaXhl19+gUqlgpubG8RiMdq3b4/PPvsMFy9eFFpelScpKQmLFy9GixYtQERo2LAh5s+fjwsXLggtzWG4efMmxo8fD7lcjnr16mH58uVVctA6JSUFEydOhEQiQbt27bB//36hJQnOpk2b8MILL0AqlWLcuHFVurSePdm3bx+USiWICG3btsWmTZuqvNGwOKSlpeH999+Hi4sL6tatC6PRWGVSSx7n2LFjeOGFF+Du7o5vvvnGIe5JV6xYAZFIBJ1OV6p2IiMj0aBBgwq1ECMxMRGLFy/GK6+8wg92P+1Rp04dvP766/j666/x119/seu/DLh9+zaio6Oh0WgQGhr61EQ27tG4cWP85z//weHDh4WWXYihQ4ciIiLCbu3t2bPH7uUi/40//vgDrq6uGDduXLnsrySkpaVh2LBhEIlE0Gg0lWIiPD8/H9999x2CgoLg4uKC6dOnV5nJzuPHj2Ps2LFQKBRwd3fHpEmT2Pd1/N0fLl68mE+d9fPzw5QpU3Ds2DGhpVV4CgoKEB8fj6ioKDRq1KhQqUGTycRKshWD9PR0bNiwAePHj+fLNvr7+2Ps2LHYtGkTS+ArBbdv38aqVavw5ptvombNmvx5OnLkSKxatYpVLigD7ty5g7Vr1yIyMhLBwcEgIri5uaFv375YsmQJTp8+LbTESsujR49w4MABfPzxx3j11Vfh4uICIkL9+vX5RTasrG7ZkZ+fj5MnT2LZsmUYOXIk35/LZDK0bdsW06ZNw4YNG1i/w2AwGHZEBADEYDAqJAUFBbRz504yGo0UGxtLYrGY+vXrR0OGDKHevXuTi4uL0BIZz+HSpUu0Zs0aWrNmDZ0/f57q1q1Lr732GkVERFCnTp1IIpEILZFRRuTm5tL+/fspNjaWoqOjKSkpiYKDg0mpVJJSqaRevXqRu7u70DKrLCdOnCCj0Uhr1qyh+/fvU8uWLWnIkCGkUqmoYcOGQsur8Ny4cYMWLFhARqORPDw8aPz48TRx4kTy9/cXWlq5cvLkSZo6dSr99ttv1KtXL5o3bx69/PLLQssSDIvFQqtWraL58+dTYmIiDR8+nGbMmEFNmzYVWprDc+TIEVqwYAHFxsZS/fr1SaPR0OjRo8nNzU1oaQ7BrVu3aO7cuWQ0Gik4OJhmz55Nw4cPr3L3Ybm5uaTVamnx4sXUrl07MhgMFf76XLZsGU2aNIlmz55N8+bNK1Eb169fp8aNG9M333xDY8aMsbPC0pOVlUWHDh2i2NhY2rx5M924ceOZ/yuXy6lBgwYUGhrKP1q3bk0KhaIcFTsud+7coWPHjvGPs2fP0tWrV5/5/wqFgjp06EBKpZIiIiKoSZMm5ai26LRs2ZJ69+5NOp3OLu2NHj2a/vrrL0pISLBLe//G9evXqV27dtS6dWsymUwklUrLfJ/F5fDhwzRixAjKzs4mo9FIPXv2FFpSqQBA69ato1mzZtG1a9do9OjRNGfOHAoICBBaWpmSl5dHmzdvpuXLl9Pu3bupUaNGNGbMGIqMjCRvb2+h5QlGWloamUwmiomJoR07dpCrqyv179+fVCoV9erVi2QymdASKywpKSm0fft2MplMtHPnTsrIyKCWLVtSv379qH///vTSSy+RSCQSWmaFx2q10vHjx2nnzp20c+dOOnToEFmtVgoNDaVevXpRv379KDQ0lMRisdBSHY4HDx7Qb7/9Rnv37qV9+/bRhQsXSC6XU9u2balnz57Us2dPat26NTu2duTGjRv0v//9j37//XeKj4+nixcvklQqpTZt2vDjwe3bt2d9axlgNpvpyJEjtH//fjpw4AAdOHCAcnJyqEaNGtSlSxdSKpXUvXt3qlevntBSKyV3796lI0eO0OHDh+nw4cOUkJBAWVlZ5OHhQR06dKAOHTpQp06d6OWXX2bfXRkMBqOMYKYvBsNBePjwIUVHR9PatWspPj6eFAoFbwDr1asXOTk5CS2R8RyOHz9O69ato82bN9PZs2fJ19eX+vbtSxEREdSzZ09ydXUVWiKjjLBYLHTw4EHavn077dixg06ePElOTk7UpUsX6tWrF/Xu3ZsaN24stMwqidVqpYMHD1JMTAxvzmvatCmpVCoaNmxYhZ3cqyjcv3+ffvzxR1q6dCklJydTREQEvffee1XO+LR//36aNWsW/f7776RUKkmn01FoaKjQsgTDarXS1q1bae7cuXTixAnq27cvzZo1i9q2bSu0NIfn8uXL9OWXX9L3339PEomE3nzzTZo6dSrVrVtXaGkOwfXr1+mTTz6hH374gYKCgmjGjBn01ltvVTnz159//kmRkZF0/PhxmjZtGs2dO5ecnZ2FlvVMfv75Zxo9ejS9/fbbVABjCgAAIABJREFUtHTp0hJNTL399tu0c+dOunjxIv0fe+cdFtWZvv+PiK5did3YFUSKNKkDKDiCIogFrBFNjGZ13bjJpm3WNUUTTbLJbsxmk1WjWTQ2bBQRdQTp0os0G4gFQSz0Igz8/tjfnC8Yk9hwYHg/13Uu9Lqcmdt3DjPnPO/93E/nzp1bQOWzIzs7m6ioKGnD4vLly7/67zt27MjYsWPR19dHT08PPT09xo0bx7hx4xgwYMBzUt16qKqq4sKFC9KRk5PDhQsXyM7OpqKi4lcfq6Ojg52dHTKZDHt7e6ytrVv9+VJVVUXv3r356aefmDdv3lM/X3V1NYMHD+ajjz5i7dq1z0DhL1NWVoa9vT2NjY1ERUXRu3fvFn29x0WpVLJhwwY2btyIu7s7P/zwA3379lW3rKdCoVDw7rvvkpqayty5c/n0008ZO3asumW1KAUFBezatYtvvvmGmzdv4ubmxtq1a5kyZUq7NeTU1NRw6tQpdu3ahb+/P1paWsjlcry9vZk7d66oTf0Kubm5BAYGEhQURHh4OA0NDdjY2ODh4cHs2bPR09NTt8Q2gcqMpFAoCAoKoqCgoJkxw8PDg8GDB6tbZpujoqKCs2fPolAoUCgUpKSk0KFDB0xNTaVrG1dXV3r16qVuqRpDbm6udM2uUCjIzc1FW1sbExMT5HI5MpkMBwcH+vTpo26pGkdBQQHR0dHS+qekpNDQ0MDo0aOl810mk2FgYNBuv+9bivr6es6fPy+tv6qZBpDW38LCAnt7e8zMzISxVCAQCJ4TwvQlELRBCgsLOXjwIAcOHCA6OpqePXsyc+ZM5s6di4uLi0gAawPk5eUREBBAUFAQZ86cQVtbG3t7e9zd3Zk3b54obmg4qgJXYGAgx44d4+7du4waNYqpU6cil8tFEUZNKJVKzpw5g5+fH4cPH6a4uBgTExPc3d2lTl1xo/pwampq2L17N19//TUZGRk4ODiwfPlyvLy82tWmQXBwMOvXryc5ORl3d3feeOMNnJyc1C1LbTQ0NBAQEMCnn35KQkICzs7OrFmzhpkzZ7Y7k82zpqysjJ07d/LVV19x/fp1aQNTLperW1qboKn5S1dXl/fee4/Fixe3q/OyoaGB7du389ZbbzFgwAC+//77Vn3++Pv7M3/+fLy9vdm5c+djpwFdu3YNPT09Nm/e3OJGlmfNzZs3iY6OJiYmhpSUFFJTUykpKXmkx+ro6DBy5EiGDRvG8OHDGTp0KEOHDmXEiBEMHTqUQYMGtWrD34MolUqKi4u5fv06169f5+rVq1y7do3r169z7do18vPzuXHjBo9S5urcuTNGRkaYmppiZWUlbQq1tWu9qKgoHBwcyMvLeyYG4L179+Lj48O1a9daNMG1rq4ONzc3srKyOHv2LMOGDWux13oSrl69yksvvURCQgKbN2/m9ddfb9MbhtHR0fz1r3+VGhS++OILTE1N1S2rRYmKimLLli0cOXKEvn37smzZMlavXs3w4cPVLU0tKJVKwsLC8PX15ejRo1RVVWFjY4OPjw8LFiwQ9YdfoKGhgZSUFMnolZSUxAsvvMCUKVNwd3fH09Oz1RlWWyP19fWkpaVJ65icnEzHjh2xtrbGw8MDuVyOubl5m/6cVQdVVVXExMRIppfw8HDq6uqaTRmQy+XtOs3wWZObm4tCoSAqKorw8HCuXr1Kt27dMDMzw97eXjJ6ib2ZZ4tSqSQnJ0cyGUVFRZGXlycZ7FQmr0mTJrXLppeWRpWW3NTkVVNTQ+/evbG0tJRMXjKZjBdeeEHdcgUCgaDdIkxfAkEb58aNGxw8eBA/Pz9iY2Pp2rUrrq6uzJo1C3d3d3Fj1wa4c+cOx44dIygoiOPHj1NVVYWZmRnu7u7Mnz+f8ePHq1uioAVRKpWkpqaiUCgIDAwkNjYWLS0tUfxSMyoD2JEjRwgKCiI/P5+BAwfi7u7OjBkzcHFxaVdmpkelsbERhULBf/7zHwIDA+nSpQvz58/nlVdewcbGRt3ynguNjY0EBgbyxRdfEBUVhZmZGW+++Sbz5s1r9WkhLYlCoeDrr78mODiY4cOHs2rVKl599VVREHpKVKlqn332GdHR0Zibm7N27VoWLlwoRkY8Anl5eWzevJkdO3agp6fHu+++2+7MXwUFBbz++uscPnyYl156ia+++op+/fqpW9ZDCQ0NxdPTkylTprB///7HTjp+//33+fbbb8nJyWnzDRZ5eXmkpqZKR3Z2Nnl5edTX1z/2c/Xo0YP+/fszYMAA+vXrR9++fenXrx/9+vWjR48edO/enZ49e9KrVy+6detG9+7dpbSCbt26NXsffve73zUb11FfX095ebn098bGRsmwVllZSVVVFeXl5ZSWllJVVUVVVRUlJSWUl5dz69YtiouLuX37drPjSRg8eDD6+vqYmJhgamqKqakpBgYGGvE5+Y9//INNmzZx69atZ/J8bm5uaGlpERQU9Eye72E0Njby8ssvc/jwYSIjIzExMWmx13oSDh8+zIoVKxg4cCB79+5tdfoeh4SEBD7++GOCgoKQyWRs2rQJBwcHdctqMcrKyti3bx/ffPMNGRkZWFhY8Prrr7fb66Kmqdb79u3j1q1bWFhYsGTJEubPn9+ixs62TFVVFadPnyYoKIiAgAAKCwsZNWoUHh4eeHh4MGnSpHZ5Pj0uKnOMQqGQxl82NSOJZsfHR2WeU61rZGQktbW1zdbVycmp1V7LtzWaGo0UCgVhYWHcvn2bHj16YGNjIxmNHBwcxASWZ0xdXR3p6emSwS4mJoa7d+/So0cPTExMpBQvR0dHYbx9xlRUVJCamiqZvCIiIigqKkJbWxs9PT1p7S0sLESKmkAgELQyhOlLINAgCgsL8ff35+jRo4SGhtLY2MikSZOYPXs2M2bMYMSIEeqWKPgNKisrOXHiBP7+/hw7dow7d+5gaGiIp6cn7u7uWFpaPnaygaBtUVRUxIkTJwgJCeHkyZPcuXOH4cOHM336dFxdXZk8ebIwc6qB9PR0goKCCAwMJD4+ns6dO+Pk5ISHhwfTpk1j1KhR6pbY6iguLmb37t3s2LGDjIwMDAwMWL58OQsXLmzzm+2PSkJCAl999RUHDx5kwIAB/PGPf2T58uX0799f3dLUxuXLl/n222/ZsWMHdXV1LF68mNWrV2t82sTzICYmhn/+858cOXKEQYMGsWbNGpYvXy6K/o9AdnY2GzZsYP/+/RgYGLB+/Xrmzp3b5hJ/ngY/Pz/Wrl1LQ0MDX331FYsWLVK3pIcSGRmJu7s7MpmMgwcPNjMY/RZVVVUYGBgwZcoUfvjhhxZUqR7q6urIzc2VxhmqjqtXr3Ljxg3q6urULbFFGTRoEEOHDmXMmDHSeEvVuEtN3lRetGgRpaWlHDt27Kmf69atW7z44ovs3r2b+fPnPwN1D+fjjz9mw4YNBAYGMm3atBZ7ncelsrKStWvX8sMPP7Bq1Sq+/PLLNpvUkZGRwfr16zl69Cg2NjZ88sknGp0+m5qaynfffcdPP/1Ehw4deOmll1i9ejXGxsbqlqYWEhIS2LdvH/v37+fGjRtMmDCBRYsWsWDBAlEX/AWuXLlCcHAwAQEBnDlzhvr6emxtbfHw8GDmzJno6+urW2Kr5969e5w5c4aTJ09y4sQJ8vLy6N27N87Ozri6uuLq6ipG0j8mtbW1JCQkcObMGcLCwoiJiaGmpobRo0fj7OyMk5MTTk5O7aa+0tJUV1eTmJhIVFQUkZGRREVFUV5eTv/+/XFwcMDR0RFHR0cmTJjQrpqEngcFBQXEx8dLqXVJSUnU1dUxdOhQHBwcsLOzw8HBASMjI7H2z5D6+nqys7NJSEggNjaWuLg4srKyUCqVDBs2DBsbG2xsbLC2tsbc3LzNXhcLBAJBe0GYvgQCDaWsrIzg4GCOHDnC8ePHKS8vx9DQEDc3N6ZPn469vb3oTGvl1NfXExkZib+/P/7+/ly5coXevXszefJkqYNLFJ40G6VSSUJCAsePHyckJITExEQ6dOiAqakpTk5OODs74+DgQI8ePdQttV1x69YtKZ3v5MmTVFRUoKuri4uLC1OnTsXZ2ZmePXuqW2arIi4ujh07drBv3z4qKyuZNGkSCxcuZM6cOe0i6enatWt88803bNu2jerqambPns3KlSuZPHlyu+2Kq6ioYNeuXXzzzTdkZ2czceJEXn31VRYuXKjRm/PPg/z8fP71r3+xfft2qqurmTNnDitWrGjX59ujkpWVxccff4yfnx9jxozhrbfeYunSpe2mc7ukpIS//OUvbN26FQcHB77++utWmXCTlJQkGa4DAgIeK6lk//79LFy4kNOnT2u0AeJBGhoaKCwsbDYOMT8/X0rPKioqkv5cU1OjbrkSHTt2lFLH+vbtS//+/Rk4cCCDBw9m+PDh0sjKYcOGtZvf0wfR09Nj0aJFfPjhh0/9XJ9//jmbNm2ioKCgxTZ1tm3bxmuvvcZ3333Ha6+91iKv8STExMSwdOlS7t27x/bt25k1a5a6JT0RGRkZbNiwgYMHD2JsbMyGDRvw8PBQt6wWoaysjL1797J9+3YSExPR19dn9erV+Pj4tMvUj4SEBPz8/Dh48CB5eXmMGTOGhQsXsnDhQgwMDNQtr9Vx//59IiMjOX78OMHBwWRnZ9OjRw9cXV3x8PBgxowZonHiNygvLyciIoKwsDDCwsJITU0FwMLCAhcXF1xdXbG1tRWNq49BWVmZND4tMjKShIQEampqePHFF3F2dpaMXsK8+WzIz88nJiaGs2fPcvbsWVJSUqirq2PIkCFMmjRJMnmNHz9e3Ec/QyoqKkhMTCQ+Pp64uDji4+O5fv06WlpaGBoaSklS9vb24lx/hjQ0NHDhwgUSExOlIyUlhaqqKrp164aFhYVk8rKxsWHIkCHqliwQCASCx0SYvgSCdkB9fT1nz54lKCgIhUJBUlIS3bt3l1Jqpk+fzrBhw9QtU/AbNI1GVygU3Lt3j4EDB+Lo6IhcLsfNzY2hQ4eqW6agBSkvLycuLk46B5KTk9HS0sLU1FQyAspkMtF58xxpGq+vGs+pMuap3hMx/uH/qKmp4dSpU/j5+XH48GFqampwcnJiyZIlzJ49W+PNcjU1NQQGBrJ161YUCgW6urosX76cl19+mQEDBqhbntpISkpi69at/PTTTyiVSjw8PFi5ciVTpkwRxdWnQJxvT87ly5fZsmUL27Zto2fPnqxatYrXX3+9XZhUAZKTk3n99deJjY1l8eLFfPnll60uoTA3Nxd3d3fKysoIDAzEzMzskR/r5eVFUlIS6enpGv+98yRUVFRw+/Zt7ty5Q0VFBVVVVVRUVPxsBCP8LxGhqUmsrq6OiooK6e8Pjnvs2LGjZOzt1q0b3bp1o1evXvTs2ZO8vDzWrVtHY2MjI0aMIDo6mhdffPE5/a/bJoWFhQwZMoTjx4/j6ur6VM+lVCrR1dVl9uzZfPnll89IYXP8/f3x8vLib3/7G+vXr2+R13hc6uvr2bhxIxs3bmTKlCns2LGjTZ53WVlZbN68mT179qCvr88777yjseOKVdeNe/bsoa6ujpkzZ7bb68bMzEz8/PzYs2cPFy9eZMSIEXh6euLt7Y1MJmt36/FbqFLVVc1bpaWl0lg8d3d3XFxc2q2B+FGoqqoiJiZGSuKJiIjg/v37zUYLOjs707dvX3VLbTMUFRURHx8vGb3i4+Opq6tj9OjRkulFJpOJEWrPANW4wKioKJKSkoiMjOTKlSsPHVlnaGiobrkag2pEZlJSknSozvPBgwdjYWEhHXZ2duLz4xlSUFDQbN1jY2O5c+eOdM43XXtLS0vx/ScQCAQagDB9CQTtkLy8PIKDgwkODiYsLIyamhqMjIyaGRS6d++ubpmCX0GpVJKamiqZfyIjI6mtrW1WbHFxcWmXHa7tiVu3bhEeHo5CoSAqKoqsrCy0tbUxMTGRzgMHBwdx4/YcuX37NmFhYSgUCkJCQrh69Sp9+/bF2dkZuVyOq6ur6FT7/1RXVxMUFISvry8nT55ES0sLuVyOt7c3c+fO1fjvoezsbP773/+yfft2ysvL8fT0bLcbVipKS0vZv38///nPf0hOTmbcuHG8/PLLvPLKK63OcNLWyMnJ4ccffxTn22Ny69Yt/v3vf7Nlyxbq6up45ZVXeOutt9pFs0RjYyMHDx7kz3/+MxUVFXzwwQf84Q9/aFVpDffu3WPu3LkkJCSwd+9e3N3dH+lxxcXFGBkZMWfOHL777rsWVil4HBYvXsyePXsA2LBhA+vWrVOzotbNvn37WLJkCXfv3n1qA+ORI0eYO3cuOTk56OnpPSOF/0dYWBhubm688sorfPvtt8/8+Z+ErKwslixZQnZ2Nps2beL1119vc9+J7cXsVVJSwoEDB/j3v/9NWloaBgYG+Pj48Oqrr7a7DWJh9Hp0lEolsbGxUgNscnIyXbt2xc7ODnd3d2bNmiXuzX+Fpg1uD6s7ymQynJ2dRfPpY1BQUEB0dLRUw8vOzkZLS4tx48ZJpiMnJ6d2ca/R0qgMLypDXVJSEjU1NQwcOBBLS0ssLCywt7fHzs7uscbFC36dB41GUVFRlJSU0L17d0xNTZsZjYS57tnx4LrHxcVRXFxMx44dGTduXLN1nzhxIl26dFG3ZIFAIBC0AML0JRC0c6qrqwkPD+fkyZMoFAoyMjLo1KkTNjY2kmnE0tKyVW3wCH5ORUWFZP5RvY+dO3fG1tYWuVyOo6MjlpaWIgFKw7l58yZRUVEoFApOnDhBfn4+3bp1w87OTirKWVtbi9Sp50jThL6QkBDKy8ubmTNdXV3FKDv+t3EfGBiIn58fISEhdO/enZkzZ+Lt7c20adM0+px9MI1p7NixvPrqq+0+jSkpKQlfX192795NRUUFnp6eLFmyBDc3N43byHyeND3fTp8+zZgxY8T59giUl5ezY8cO/v73v3Pr1i3mz5/Pe++91y7GJVVWVvLFF1+wefNmRo0axddff42Li4u6ZUncv3+flStXsnv3bv75z3+yZs2aR3qcasxjcHAw06ZNa2GVgkelqKgIfX19SkpK6Nq1K+fOnWPMmDHqltVqee2118jIyCA6Ovqpn8vZ2Znu3bsTGBj4DJQ1JyEhgSlTpuDu7s7u3bvR0tJ65q/xODQ2NrJt2zbeeOMNjI2N8fX1bRGjW0vSHsxejY2NREdHs2vXLnbv3k3Hjh2ZNWsWPj4+yOVydct7rqiMXj/99BOXLl1i5MiR0r2SMHo1R6R5PTkPmryioqKoqalh8ODB2Nvbiya2x+T+/fskJycTGxtLdHQ00dHRFBYW0rVrV6ysrHB0dMTe3h5bW1uRPPuU1NTUkJKSwtmzZ4mJiSE2NpYbN26gra3NhAkTsLW1xcbGBjs7O0aPHq1uuRpDeXk5aWlpkrkuMjKSwsLChxqNrKys6Ny5s7olawQlJSXS9X9UVBSJiYkUFhYCSJ/XqtQ6c3NzYWoUCASCdoQwfQkEgmYUFRVx+vRp6Sb/2rVr9O7dm0mTJuHk5ISjoyMmJiYaVUzURAoLC5uNgrxx4wadOnWS4pJV3UwDBw5Ut1RBC5KbmytF7wcHB3P9+nV69OjRzNRpZmam9o2X9kJNTQ2RkZGcPHmSkydPcu7cOTp37oxMJsPFxYWpU6diamra7t+PgoIC/Pz88PPzIyYmBh0dHWbMmIG3t7fGG37OnTvH1q1b2b17N1VVVcyePZuVK1fi5OTUbjdzHjQpvfjiiyxevJjly5ejq6urbnltGpH+9fjcv3+fffv2sXnzZnJycpgxYwbvvfceMplM3dJanPPnz/PGG28QEhKCt7c3mzZtalWbJhs3bmT9+vWsWbOGL7/88pHMwvPmzSMuLo709HSRjtuK+PbbbyXznqurKyEhIWpW1HrR09Nj3rx5bNy48ameJysrCyMjI0JCQp65qfPixYs4ODhgbGxMUFCQ2s0W+fn5LFu2jKioKP7617/yt7/9rU1dW7YHs9fNmzfx9fVl27ZtXL58GQsLC1auXMmiRYvo0aOHuuU9F5RKJTExMRw5coRDhw5x9epVdHV18fb2xtvbG1NTU3VLbDWoUvADAwMJCgoiOTmZLl26IJPJkMvleHp6oq+vr26ZrRLV2qlqRiqT3KBBg3BwcEAulzN16lRGjRqlbqltguLiYsngFRMTQ2JiIjU1NfTv3x9bW1vJiDFx4kRhfnlKVLXOpslGNTU19O7dG0tLS8nw4uDgQJ8+fdQtVyOorKwkNTWVpKQkEhMTSUhI4Pz58zQ2NjJ8+HCsrKywtrbGysoKCwsLjU/uf17cuXNHWnPVce3aNTp06MCYMWOYOHGidJibmwsDqUAgELRzhOlLIBD8KufPn0ehUHD69GkiIyO5ffs2vXv3xt7enkmTJuHo6IiFhYVIAmvlqCLEVcWclJQUGhoamnWA2NvbCwOQBtPY2EhmZiahoaGEhoYSERHBvXv3GDBggPS77OjoiJGRkTgHnhNNx3MeO3aMGzdu0LNnT6ytrSVTnrm5ebs2X+Tm5rJ371727dtHRkYGQ4cOZfbs2cydOxd7e3uN2uBqyoPpX8OGDWPRokWsWLGiXSeeZGVl8eOPP7J7924KCwuRyWQsXboUb29vYdh4CmprawkICBDpX49BQ0MD/v7+fPbZZ8TFxWFnZ8fatWuZM2eOxl8TBwUF8fbbb5Obm8sf/vAH1q1bxwsvvKBuWQD4+fnx8ssvY2FhwYEDB36zueH27dsYGxtjb2/PgQMH2vX3bWuioaEBmUzG2bNngf+9r15eXmpW1fooKCjgxRdf5NSpU0+derRixQoiIyPJzs5+pr8H+fn5ODg4MGzYME6dOqX2pIEdO3bwpz/9iREjRrBr1642ZZzRdLNXQ0MDoaGhbN26laNHj9K9e3fmzZvH6tWrMTExUbe850JtbS2hoaEcOXIEf39/bt26xfjx45kzZw7e3t7tZh0ehQsXLnDq1ClOnTpFWFgYZWVljBs3Djc3N6ZPn46jo6PaDaatEZXJ68yZM4SFhREREUF5eTmDBg3CyclJOsaOHatuqW2Cpk2WqlGNjY2NjB49WqqxymQyDAwMxDXmU1BQUEB8fLx0JCQkUFZWRpcuXTAzM8PKyko6xLn7bKiqqpIMXirDUU5ODkqlkr59+2JhYYGlpaW07oMGDVK3ZI1ANaIxKyuLzMxMkpKSpM+VwYMHN0tOs7GxoX///uqWLBAIBIJWhjB9CQSCR0ZlGgkPDyciIoLw8HCKioro0aMHMplMiqaeOHGi2gu6gl+noqKC1NRUqTgRFRVFSUmJZDhpWqAQIyE1E6VSSUpKCmFhYZw5c4bo6GhKS0vR0dGRfp8dHBywsLDQ6NF6rYmmoyAVCkUzU55qPKehoaG6ZaqNjIwM/Pz8OHToEJmZmQwYMIBZs2Yxd+5cnJycNPY8zcjIYOfOnezZs4eioiImTZrEsmXLmDt3brtJO3gQ1cagr68vhw8fRqlU4uHhwZIlS5g+fbrGm25akszMTLZu3cquXbuorKxk5syZ+Pj4aPyY1achPDycr7/+moCAAAYPHszq1atZsWIF/fr1U7e0FqO+vp4dO3bwwQcfUFFRwZ///Gfee+89unTpom5p5OTkMHv2bMrKyjh48CC2tra/+u/Dw8ORy+V8/vnnvPHGG89JpeC3SEpKwtraGqVSyeDBg8nOzhbm3gfw9fVl5cqV3L1796nuva9du8bYsWP57rvveOWVV56ZvoKCAhwdHenZsyehoaHo6Og8s+d+XG7cuMHKlSsJCQnhzTffZOPGjW3GEJKens4nn3zCwYMHMTIyYv369cyZM0djDATXr1/np59+4rvvviM/P19K9XrppZfaRU2pqqqK06dP4+fnR0BAAKWlpRgYGODt7c28efPaxRjpR+H27ducPn1aMnpdvXqV3r174+TkxNSpU5k2bVqrSh9tLajGNaqMSadPn+bu3bv069cPGxsbaWRje280exTKyspISEiQRgfGxsZSUlJC9+7dsbKyQiaTYWtri62trVq/79o6qlp10wSvrKwsAMlMpzK9TJw4sVXce7R16urquHDhQrM1T0hI4P79+/Tq1QtjY+NmZiNhYnx6GhoauHjxIikpKaSkpJCcnExKSgp37tyhQ4cOjB07FjMzM+kwNzcXBi+BQCAQPBLC9CUQCJ6KnJycZiYw1RhBMzMz7OzssLOzQyaTMWTIEHVLFfwK9fX1pKSkEBMTQ3R0NNHR0RQUFNC5c2epg0QVF6yrqytu8DQQpVJJTk6OZAQ8c+YM165do1u3bpiZmUkmwEmTJtGrVy91y9V4VF24CoWCqKgoIiIiKCsrk9L55HI506ZNY/jw4eqWqhby8vIICAiQRkD26dMHd3d3PDw8cHNz08goeaVSSVhYGL6+vhw8eJDGxkY8PDza/Ti+0tJS/P392bVrF6dPn2bQoEF4e3uzbNkyzMzM1C2vzVJdXY2fnx87d+4kIiKCvn37smDBApYsWYKlpaW65bVKCgoK2Lp1K9988w2VlZXMmzePP//5zxqdzFFZWcm//vUvPvnkE3r37s3f/vY3li9frvbkmbKyMpYuXcrx48f57LPPWLt27a/++88++4x169YRGhqKg4PDc1Ip+C3++Mc/8q9//QuAN954g6+++krNiloX3t7eVFRUcPz48ad6njVr1hAQEMClS5ee2bip4uJiJk+eTH19PeHh4WpNgPDz8+P3v/89ffr0YceOHUyaNEltWh6HuLg4Pv30UwIDAzE2NtYos1dNTQ1Hjx7lhx9+IDQ0lIEDB7Js2TKWL1/eLhJt7969S1BQEEFBQQQHB1NTU4ONjQ0eHh7MnTtXJNXwf2Yl1cjGlJQUOnTogKmpqZSI7ejoKEbkPUBJSYlUz4mMjCQxMZHa2lpefPFFHBwcpHqOkZGRRnyWtBSq2pjKAPPgtAQLCwupPmZlZSXOwyekrq5vDBfiAAAgAElEQVSOc+fOkZCQIKV4ZWdno1QqGTJkiJQkZW1tjaWlpahDPgMeZvBSfU4Ig1fLUF9fz/nz55uZGJOTk7l79y7a2tro6elhYWGBoaEhBgYG2NnZ0bdvX3XLFggEAkEbRZi+BALBM+Xq1atERUURGxtLdHQ06enpKJVKRo4cKXU+2dnZYWRkJBIjWjl5eXmSASwuLo6MjAzq6uro3bs35ubmkgnMwsKiXRRn2yMPxtVnZWWhra2NiYmJlAbn7OwsbkifA6rCtyoFLDIyktraWkaPHi0Vvtvre5Gfn8/Ro0fx8/MjNjaWLl264OzsjLe3N7Nnz6Znz57qlvjMKSkp4cCBA/j6+hIdHc3QoUNZvHgxr776arveKLp48SK+vr7s2rWL/Px8zM3NWbRoEfPnz2fo0KHqltdmuX79OocOHWLnzp2kpaWhr6/P/Pnz8fHxEakKD6GmpoYDBw7wxRdfkJGRgUwmY+3atcyePVtjU+hu3LjBBx98wI8//oiJiQmff/45U6ZMUaumhoYGPvjgAz755BNeeeUVvvnmm19Mr21sbMTLy4uYmBiSk5MZPHjwc1YreBhlZWUYGBhw48YNOnbsSEJCgjDz/n/q6uro378/GzduZM2aNU/8PIWFhYwePZq///3vrF69+ploKy0txdnZmdLSUiIiItTW/FVYWMiqVavw9/dnxYoVfPXVV22iKSAqKorPPvuMoKAgzMzM+Mtf/oKXl1eb33RtbGwkOjoaX19f/Pz8KC8vZ9q0abz66qu4u7tr7PejiqtXr3L06FGOHDlCZGQknTp1YurUqcyePRsPDw+NTgd9VJqmXoeEhFBeXt7sXnfq1Kn06dNH3TJbFYWFhSQkJBAdHY1CoZCMSQ+OF2zPaeGPQn5+PmfPnpWMR8nJyVRVVdGzZ08sLCywtrbG2toaKysrXnzxRXXLbZM8aHxJSkoiOTmZ6upqevTogYmJSTOzkThnn57q6mrOnTvXbM0zMzOpq6ujT58+mJubS4lpoq7/bKioqOD8+fPSaEbVUVNTQ+fOnRk7dmyz89zCwkJMVxEIBALBM0WYvgQCQYtSWVlJSkqKZBqJiYnh7t27dOrUCV1d3WYdUuPHj0dLS0vdkgW/gIh8Fty8eVMaB9q021FVjJXJZEyePLndpk89TyorK4mKiiI0NJTQ0FBSUlJobGzExMQEJycnJk+ejL29fbsbLVBcXMzx48fx8/PjxIkTdOzYEblcjre3N56enho5GiozM5Mff/yR3bt3U1RUhKOjI8uWLcPLy6tdj38MDw9n9+7dHD58mLKyMhwcHFi0aBFeXl688MIL6pbYZsnMzGTXrl3s3LmT27dvY2tri4+PDwsXLtRIg+XTEhUVxZYtWzh8+DADBw5kxYoV/PGPf9RYg25GRgbvvPMOx48fx9nZmY0bN/7meMWWxt/fn2XLljFs2DD279/P+PHjH/rvSkpKmDhxIsOHD+fEiROiOaWVsG/fPhYuXAiApaUlZ8+eFfeLgEKhYOrUqeTm5jJq1Kgnfp633nqLn376idzc3Gey6VRWVsbUqVO5efMm4eHhT6XtafDz82PVqlX06tWLHTt2MHnyZLXoeBwUCgXr168nNjYWmUzGu+++i4eHh7plPTXXrl1jz549/PDDD1y8eFEaXfjyyy8zYsQIdctrUTIzMwkKCiIwMJCYmBi6du0qNabMmjWr3afWFBUVERERgUKhIDg4mOvXr9OvXz+cnJyQy+W4uLgwcuRIdctsVTysKa9jx46MGzdOSgOfPHmyGAP2K5SXl5OWliYleEVERFBUVCSto6qeaW9vj6mpqdrTa9siDyalJSUlkZKSQlVV1UP3AvT19cU6PyWlpaXNDF5ZWVmcO3eO+/fv07NnTyZMmNCsXi/2X56ewsJC0tPTpRGNKSkpXLp0iYaGBnR0dJqNZzQzM2PcuHHiPBcIBAJBiyNMXwKB4LmiVCrJzs4mMTGRhIQEEhMTSUtLo7a2lp49e2Jubo6lpSUTJ07E0tJSJEi0cpoawVSFp/Pnz6NUKunTpw+GhoaiW0uDKS4uJjo6mvDwcKKiokhJSUGpVKKnp4eDgwOOjo7Y2dm16+Sh50VJSQnh4eGSCSwzM5MOHTpgZGTEpEmTpPdj4MCB6pb63Lh16xZHjx7l0KFDhIWFoaWlhbOzMzNnzsTd3V3jkp8aGhoIDQ3F19eXQ4cO0dDQgFwux8fHB09Pz3Y7dqK2tpaTJ0/i5+fHkSNHqK6uxsnJiSVLljBnzpx2a4x7WpqOG1Wdbx4eHixZsoTp06drfGLH43Lx4kW++eYbfvzxRxoaGli8eDGvvfYa5ubm6pbWIsTExLBu3TrCwsKQy+Vs3rwZCwsLtem5evUqixYtIjk5mU2bNv3iuMe0tDTs7e3x9vZmx44dz1ml4Jdwc3OTRhj+5z//YeXKlWpWpH7eeOMNFAoF586de+LnKCoqYsyYMXz88ce8+eabT62psrKS6dOnc+nSJSIiItRy/V9UVMSqVas4evQoK1as4Msvv2zV3/MNDQ0cO3aMjz/+mMTERORyOR9//LHazbJPS1lZGUePHpVGb+vo6ODl5cWSJUuwt7dXt7wWo6amhtDQUAICAggKCuLGjRsMGzYMd3d3PD09cXJyarfX4wD37t0jPDycsLAwFAoFWVlZdOnSBZlMxtSpU5k6dSqmpqbCiPD/URlnVCleZ86cobi4mG7dumFmZiYZZhwcHEQC2i/QNF1KVa/MyclpNqZRZT6ytbVtE2mQrY1HNXipDjEO8+kpKCiQjF2qRKns7GwaGxvR0dHBwMBAGLyeIap9j6brnZSUxM2bNwEYPHiwNJpRNMELBAKBQN0I05dAIFA7D4t5ViVI9e7dGyMjI2EcakNUVFSQmpra7P1UFVaa3oA2vSkSccaaQdNkP4VCQVRUFDU1NfTu3RtLS0tpxICdnR3dunVTt1yNpqysjPj4eOl9UH2mNh31IJfL242x9t69ewQEBBAQEMCJEyeoqqrCzMyMmTNn4uHhgZmZmUYVZe7evYufnx979+4lMjKS3r17M3fuXBYtWsSkSZPabdGvurqaoKAgfH19OXHiBNra2kyZMqXdG+OelpKSEgICAqTN3UGDBuHt7Y2Pj49ajT6tkbKyMnbu3Mn3339PTk4OlpaWvPbaayxYsEAjN5oUCgXvv/8+iYmJzJgxg40bN2JiYqIWLfX19WzcuJENGzYwZ84ctm3b9tBN0uPHjzNz5kzWr1/P3/72NzUoFTzIpUuXMDY2pqamBh0dHXJychgwYIC6ZakVXV1d5s6dy+bNm5/4OVavXo2/vz8XL1586uvyiooK3NzcOH/+PGFhYRgYGDzV8z0Ju3bt4k9/+hM6Ojrs2LEDR0fH567hUamrq2Pv3r1s2rSJCxcu4ObmxocfftimvzObNh8cPnyY+vp6pk6dio+PD7NmzdLY9MQ7d+4QGhpKYGAg/v7+0lhaDw8P3N3dkclkGnWP8TiUlZURERHBmTNnCAsLIzU1FQATExOmTJnC1KlTcXBwELWg/09FRQXx8fFERkYSFRXF2bNnqaiooH///tjZ2eHo6Ii9vT3m5uaiueIXUJlhVAYv1fjApklH9vb2ODg4MGjQIHXLbXPU19eTnZ1NSkoKycnJksGrsrKSLl26SCMaVeMCDQwMxLn6FKj2SpqajeLj47l16xZAM+Oiat3FiPqn4969e82MXaq1r6mpaWZiVO1nWFpais8SgUAgELQqhOlLIBC0Surq6khPTycqKupnxqEHb2ysra3bfeG/tVNaWioVBM6dO0d6ejqZmZncv3+fTp06MX78eCZMmICxsTGmpqZMmDBB3DhpAPX19aSlpUm/x5GRkVy5cgVtbW309PSk7lRh5mx5KisriY2NbTYOoqamhsGDB0vvg6qIrOkbEzU1NURFRREYGMiRI0e4du0aAwYMwNXVFW9vb1xcXPjd736nbpnPjBs3bnDw4EH8/PyIjo5myJAheHl54e3t3a43ou7du0dgYKBkVOrTpw/u7u54e3vj6uoqDGBPyKVLl9i9eze7du0iNzcXExMTFi9ejLe3txjR8wBJSUls3bqVXbt20alTJxYsWMCqVaswNTVVt7RnjkKh4J133iEtLY25c+fy6aefqi0FNCQkhKVLl9K7d2/27t37UJPF9u3bWblyJT/++CM+Pj5qUCl4kA8//JCPPvoIgKVLl/Ljjz+qV5AaSU5OxsLCgri4OKysrJ7oOS5cuICRkRHff/89r7zyylPpqaysxN3dnaysLE6fPo2RkdFTPd/jcuXKFVatWsXJkyf5wx/+wKZNm1qtiba2tpb//ve/bNy4kcLCQhYsWMD777+Pvr6+uqU9MVlZWfj6+vLf//6XwsJCLCwsWLJkCYsXL6Zfv37qltci5ObmEhgYSFBQEGfOnEFbWxt7e3vc3d2ZM2cOw4YNU7dEtVBVVUVMTIx0vxkRESE1HcnlcuRyOc7Ozho74vpxKSgokO7Lmza+tsf78yehrKyM9PR0aQ1VZhhVranp+ECRdPT4VFdX/2x03blz56ipqaFLly4YGxs3M3gZGhpqrLn3eVBZWUl6ejqpqanSemdkZFBTU0Pnzp0xMjLCzMwMU1NTzMzMmDBhAj179lS37DZL06klKmNXQkICRUVFwM/TuwwNDTEyMtKoOqFAIBAINBNh+hIIBG2G8vJy0tLSmiVIqSKMHxanq6+vL+alt2Lq6+u5evXqz7po8vLyfhZLLVLBNIcHuy8TExOpra2VzJyqwtzEiRPp0qWLuuVqLCpjrSoJLDIyktLSUgYOHIilpaWUBGZmZqbxBdLMzEyCgoIIDAwkJiaGrl274uzsjIeHBx4eHhrVLXnlyhX279/Pjh07uHDhAiNGjGDBggUsW7asTW84Pi1Xr17lwIED+Pn5kZCQgI6ODrNmzcLb25spU6aIAvYT0NjYSHR0NLt27eLgwYPcu3cPKysr5s2bh5eXF8OHD1e3xFZDSUkJBw4cYMuWLWRmZmJhYcHKlStZvHhxqzUuPAkNDQ0cOnSIdevWkZeXx4IFC1i3bh16enrPXcvNmzdZsmQJERERrFu3jvfff/9nSQTvvPMOX3/9NSdOnGDy5MnPXaOgObW1tZiYmHD+/Hk6dOiAQqHA2dlZ3bLUwl/+8hd++ukn8vPzn9gI4OXlRWZmJufOnXuqFI6ysjKmTZtGbm4up0+ffq5NHA0NDWzfvp233nqLgQMHsm3btlb7u3r37l2+++47tmzZQnl5Oa+++ipvv/12mzUH3b17l4MHD+Lr60t0dDTDhg1j0aJFLF++HF1dXXXLe+bU1tYSERHBsWPHCAoK4vLly/Tv358ZM2bg4eGBq6urRn1fPyqqBi+FQoFCoSAyMpLa2lrJ5CWTyXB2dmbo0KHqlqp2VCncsbGxxMXFcfbsWe7cuUOXLl0wNzfHxsYGW1tbbG1tefHFF9Utt9VRWloqpUslJyeTkJDAhQsXABg9ejTW1tZYWVlhZWWFmZmZqBk+JioDXdO6bEZGBrW1tVJKWtOarKWlpTC/PAUPG8+oanLv1asXxsbGzdZb1EafjoKCgmZrnZWVxblz57h//z6dO3dm7NixzfYdRLCAQCAQCNoywvQlEAjaNLdu3SIxMZG0tDTS0tJIT0/nwoULKJVKunbtiqGhISYmJkyYMIEJEyZgYmKCjo6OumULfoU7d+6QmppKeno6586dIy0tjczMTGpra+nUqRP6+voYGxszYcIEDAwMMDAwYNSoURpvTNFUqqqqpGj46OhowsPDpQ5NExMTKQls0qRJjBgxQt1yNZa6ujoSExOJiIiQRkqUlpbywgsvYGdnh62tLTKZDEtLS40ezXnr1i1CQkLw8/Pj1KlT1NXVYWZmhru7Ox4eHm167M6DxMfHs3fvXvbv38/NmzcxNzdn0aJFeHl5tevftWvXrnH48GH8/PyIiYkRCWDPAKVSSWxsrDRytLi4GAMDA2kEZHsZM/soJCUl8fXXX7N//366du3K/PnzWbNmDcbGxuqW9syor69n9+7dfPrpp+Tl5bFw4UK1JN00Njaybds23nzzTQwMDPD19W2moaGhgQULFnDy5ElOnTqFpaXlc9Un+DmnTp3CxcUFAD09PdLT09vlpqOuri6zZ8/m888/f6LHx8fHY2NjQ0BAAO7u7k+so7S0lGnTppGXl0doaOhzHemYkZHBihUrSEpK4s033+Sjjz5qledCfn4+//znP9m+fTva2tqsWrWKP/3pT21yM7G2tpaTJ0+ya9cujh49SteuXfH09MTHx4cpU6ZoXBLR9evXOX78OMHBwZw6dYrKykqMjIwko5eNjU27azB80OT1YHK0XC5n2rRpwtjP/9LgVAle0dHRpKSkNJtaIBrdfpk7d+5I5i7VcfnyZRobGxk4cCDm5uZYWlpKJq/+/furW3Kb4sHxdU0NR3369MHQ0LDZZA2RkvbklJaWSpMuVEdGRgbl5eVoaWkxatQoab9CNfVi1KhRGvd9+ry4e/cu586dk0xdmZmZpKenU1JSAsCoUaOktVbtD40ZM6bdfZcLBAKBQLMRpi+BQKBxiJhezaO+vp4LFy6Qnp4umfsyMjK4evUqAF26dEFfXx99fX0MDQ0ZP348BgYGjB07ViS0tEEuXLhAbGwssbGxxMTEkJmZSUNDA6NGjcLOzk7qhJ0wYYJ4f1sIpVJJeno6ERERxMTEEB0dzY0bN+jUqRNmZmbY2tpiZ2eHTCbT2G7kqqoqTp8+TVBQEAEBARQWFjJq1CimTp2KXC7H1dWVXr16qVvmU6NUKjlz5gx79uzh8OHDlJaWYmlpiZeXF15eXowaNUrdEtVGfn6+NBozPj4eHR0dPD09pQQwYQB7fB5mAFONgvLy8tLYz5PHpaioiJ07d7Jt2zZyc3Oxt7fn5ZdfxtvbW2NGeaiSvz744APOnz+Pm5sbH330Eebm5s9VR3Z2Nj4+PmRkZPDhhx/y9ttvS5tb9+/fZ+7cuURGRnL69GmNMv62VebPn8+BAwcA2LRpE++9956aFT1fVKMd4+Pjn8iI2NjYiKOjI1paWoSHhz+xjtLSUlxdXcnPz+f06dPPzfBVV1fHV199xQcffIChoSHbt2/HzMzsubz245Cens7f//539u3bR9++fXnttdf405/+RJ8+fdQt7bFQKpWEh4ezZ88eDh06RHl5OS4uLixZsoRZs2ZpVJqOUqkkNTVVGtuYnJxMly5dkMlkuLu7M2vWrHbXFFFTU0N8fDwRERGEh4cTExNDVVUVw4cPx8nJSTrau8lLNZFAlWQeGxvLnTt36NSpExMmTJCa2BwdHcWo8wd4mAGp6TSHB1P/n2eaZFunrq6O8+fPS/VTVWNtYWEhACNHjsTMzKzZIe7DnhxVelfTfYim6V26urrNJpOYmprSo0cPdctuk5SVlZGZmUlGRgaZmZnSn1Xntsq8aGRkhImJiWTy0oTanUAgEAgEv4UwfQkEgnbDgwWFppHVnTp1QldXt1lRwcrKioEDB6pbtuBXqK2t5dKlS9JNtern+fPnUSqVaGtrM3z4cAwMDDA0NGT06NEYGBhgZmbWLkcwtFUqKipITU19aCFVV1dX6pQVnYgty4OjORMSErh///7POpatrKw0zgyjMqoEBwcTEhJCamoqv/vd73B0dGTatGlMnz5dI8YjNjXk7Nu3j1u3bkmJTAsWLNCI/+OT8mACmGoMqLe3N56envTu3VvdEtscSqWSsLAwfH19CQgIoLy8HFtbW7y9vfH29mbIkCHqlqh2GhoaOHXqFDt27MDf3x9tbW28vLx4+eWXcXR01IhO8IaGBo4dO8ZHH31EcnIyM2bM4IMPPmDixInPTUNdXR2ffPIJn3zyCZMmTWL79u3Sxuz9+/eZNWsWCQkJhIWFYWRk9Nx0CX5OYWEh48ePp6SkhK5du5KZmdmuzMl/+ctf2LdvH7m5uU/0+797926WLl1KbGwsVlZWT6ShpKQEV1dXbt68SWhoKGPHjn2i53lcYmJiWLFiBVeuXGH9+vW89dZbrS6dISoqis8++4xjx45hZGTEmjVr8PHxaVNJPo2NjcTFxbFv3z4OHDggpcEuXryYhQsXatTY8zt37hAaGopCoXhog8f06dPb1aZ8eXk5MTExREZGEhERQXx8PLW1tQwdOpRJkyYxefJknJycGDNmjLqlqpVfS/FqWpcQI/Ca8zBTTFZWFoBUT1AdlpaWDBo0SM2K2w5NpyU0TZS6f/8+nTp1wsDAQEo2MjU1xdzcXEzAeELu3LlDWloa586dazaZorq6Gm1tbXR1daVJI6pUqfZmGH5W3L9/n4sXL/6s3q8y0z1sNKOhoaFISxMIBAJBu0aYvgQCQbumtraWzMzMZpHLaWlpFBcXAzBkyBDGjx8vJUfp6+tjYGAgzGCtnJqaGrKzs8nJyZFuCjMzM7l8+TJ1dXV07NiRkSNHSuMhVe/vuHHjRPdPG6ChoYGcnBzi4+NJSEggPj6etLQ06urq0NHRaRb3LwqGLUdlZSUpKSk/M+N1794dU1NTqehtZ2dH37591S33mVJcXMyZM2ekNIB79+4xcuRIXFxcNCYFrKkB7MCBAxQWFkoGsHnz5j3XMU6tjWvXrnH06FGOHj1KREQEHTt2ZMqUKcyaNYuZM2eKa4QnQDU2ys/PD39/fyoqKiQD2Lx58zRqk/lJKSkp4cCBA/j6+hIdHc2wYcNYtGgRK1eu1IgRmY2Njfj7+7NhwwZSUlJwc3PjnXfewdHR8blpSEhIYOnSpVy7do1PPvmENWvWoKWlRVVVFe7u7mRmZhIWFtauP/9aA1u2bGHt2rUATJ8+neDgYDUrej40NDQwcuRIFi9ezKZNmx778eXl5ejr6+Ph4cH333//RBpKSkpwcXGhsLCQsLCw52L+qKysZMOGDXzxxRe4uLjw/ffft6oNVJVx9ZNPPiEuLg6ZTMa7776Lu7t7m9p0zMzMxM/Pjz179nDx4kVGjhzJ/PnzWbZsmcaY/hsaGkhJSSEkJIRjx44RHx+PlpYWDg4OuLm5MWPGDI35vz4K5eXlxMXFSaMamzb0qMY1ymSydp2udOPGDRISEkhMTCQuLo74+HjKysro3r07lpaW2NraYmNjg42NTZsc29pSNDV4JSUlkZiYKKXwPGjwsra2Fmv3iCiVSvLz83/WzJyXl0djYyM6OjrNUtEMDAzECNEnpKysjIsXLzYzG2VlZZGbmwv8X5pU0yQ6c3NzunXrpmblbY+6ujquXbsmndcPNnOrmn2bGrtUdXzR8CsQCAQCQXOE6UsgEAgews2bNyUjWE5ODllZWeTk5HDv3j0AdHR0JDOYygg2fvx4RowYIW46WjH19fVcvXr1ZzfuOTk5VFZWAv97b0ePHi2lgqkSwsaPHy9u4FsxTce6qkxIqg6wBwuLMpmMF154Qd2SNY6GhgaysrKIjo4mJiaG2NhYLl68iJaWFgYGBtJoTisrK40q0KjGwSgUCgIDA4mNjUVLSwtra2s8PDyQy+WYm5u3qY2/B2lqAPPz8+PmzZsYGBjg4eGBu7s79vb26paoNu7duye990ePHqWyshIzMzPc3d3bfTrak1JTU8Px48fx8/MjMDCQ6upqHB0d8fT0xNPTU4zG4X8jCf/73//y448/UlxcjK2tLT4+PixatKjNp5I0NjYSHBzMZ599RmRkJDY2Nrzzzjt4eno+l++NpuPjzM3N2bZtG4aGhlRUVODq6sqVK1c4efJku94EVzdKpRIrKyuSk5MBOHLkCLNmzVKzqpbn1KlTuLi4kJ2d/UTfLW+//TY//PADFy5coF+/fo/9+Hv37uHi4sKtW7cIDQ19LoavY8eOsXr1asrLy9m8eTMrV65s8dd8VGpra9m/fz+ffvopFy9exM3Njffffx9bW1t1S3tkrl69ypEjR9i1axdJSUkMHTqUOXPm4O3trTHXdgUFBZw8eZKTJ0+iUCgoLi5m8ODBTJ8+HTc3N6ZOndrmGzUelcLCQhISEoiOjkahUEgJVaNHj5YMXpMnT2634xrv3LlDYmIiCQkJktGroKAALS0t9PT0sLKywsbGBltbW4yMjNDW1la35FbBgwavuLg4qYn2wTqMJjaDtRS3b9+WErtUzclNE6X09fWl9C4TExMmTJggmmSegMrKSrKzs8nIyCArK4tz586RlZXF1atXAejRowcGBgYYGxtjYGCAkZERxsbGYq2fAFVyl2q9VWMZL126RH19PZ06dWLcuHHSaEbVuo8ePbrVJbsKBAKBQNBaEaYvgUAgeAxUIyJVHT6qP6s6q1Txwk1HCaq6ULp27apu+YJfQKlUkpeXR05ODhcuXODChQtcvHiRixcvcu3aNQA6duzIiBEj0NXVRVdXl3HjxqGnp4euri7Dhw8XN6GtkPLyctLS0qQCZFRUFHl5eQCMHj1aGr1gYWEhOiBbiKKiImJjY4mOjiY2Npbk5GSqq6vp1asXlpaWWFtbY2VlhbW1tcYkshUVFRESEkJISAgnT57k7t27jBgxgmnTpuHq6oqTkxN9+vRRt8wnRqlUEhkZycGDBzl8+DA3b95k3LhxUsqVjY2Nxhj6HpeqqipOnjzJ0aNHCQwM5O7duxgbGzNz5kw8PDywtLRst2vzpFRXVxMcHMzhw4cJDg6mpKQEExMTyQBmZmbWpg2VT0tdXR3Hjx9n586dHDt2jK5du0rJLLa2tm1+bZKTk/nnP//Jnj17GDlyJH/84x9ZuXLlc7mmzsjI4NVXXyU5OZk333yTjz76iNraWjw8PMjIyCA4OBhra+sW1yF4OImJidjY2KBUKhk2bBhZWVlt3vD4W7z00ktcvnyZ2NjYx37sxYsXMTY25h//+AerVq167McXFxcjl8spLS0lNDS0xdMFi4qKePvtt9m1axfe3t58++239O/fv0Vf81G5ffs235ZXgEUAACAASURBVH77Ld9++y0VFRUsXbqUP//5z89tzOXTcufOHQ4dOoSvry8xMTHo6OgwY8YMfHx8cHZ2bvPXKdXV1ZKpSaFQkJycTMeOHTWqGeNRKSgokNYiKiqK7OxstLS0MDU1RSaTYW9vj7Ozc7s04VRUVJCamtrMrJSdnU1jY6MwKv0CqikJaWlppKenk5ycTEpKCuXl5Whra2NgYIC5ubl0mJqa0r17d3XLbvVUVVVJ0ycyMjKkn6pktL59+0qmLtVPQ0NDMTr0MVE1if7SqECRJvXsqK2t5dKlSz9LSMvIyKC2thb4P0No0/U2NDQUNVmBQCAQCJ4SYfoSCASCZ0BJSUmzRLDs7Gyys7PJy8ujoaEBbW1txowZ02xEpL6+Pvr6+hq/QdHWuX//PtevX292s9r0AOjUqRPDhg37WTrY6NGjGTVqVLsoKrcVrl+/3mwsZGJiImVlZXTp0gUzMzMsLS2xtLTE3NyccePGCTPfM6a+vp7z58//ZiKbvb09dnZ2bT5dT6lUEh8fz/HjxwkJCSEpKYkOHTowceJE5HI5crkcW1vbNlu0bWhoICYmhiNHjuDv78/ly5cZMGAAM2fOZObMmcjl8nZreK6vryciIkIygF25coUBAwYwY8YMZsyYgYuLCz179lS3zDaFKnEuKCiIw4cPc/HiRQYMGICrqyve3t64urrSuXNndctUG/fu3cPPz4///Oc/JCcnM2zYMGbPns2yZcswMzNTt7yn4vLly2zZsoWtW7fSq1cvVq1axdq1a9HR0WnR11UqlWzZsoV169YxevRo/v3vf2NlZcWiRYs4ceIEhw4dwtXVtUU1CH6Z1atX89133wH/S7H6/PPP1ayo5SgrK2Pw4MF8+eWX/P73v3+sxzY2NiKXy7l37x4JCQmPfW1769Yt5HI55eXlhIaGMmrUqMd6/OPi5+fH6tWr6dy5M99++22rSXG7dOkS33zzDdu3b0dbW5tly5bx7rvvMmTIEHVL+01KSkoICAjAz8+PkJAQOnfuzIwZM1iyZAnTpk2jU6dO6pb4VOTm5komr+PHj1NRUSGlV8nlcqZNm6bx11z19fWkpKQQExNDTEwMUVFRFBQU0LVrV6ysrJg0aRIODg7Y2tq2OyNO0/tP1T1oamoqSqWSPn36MHHiRKkZzMrKSoxp539jLVXpUiqT14ULF6ivr6dLly4YGho2M3hNmDBBmDV+g4dNHUhKSpJG2DVtIG46olETRrg/T1RpUllZWc3SpC5fvkx9fT2dO3dm3LhxzdK7jI2NGTVqlKj9PSa/1RSvqpM3NdEZGhqKKRoCgUAgELQgwvQlEAgELciDhiHVz+zsbKqqqoBfHieop6en8cXJts7du3elZDBVOpjqp2pcZK9evdDV1WX06NGMGTOm2c9hw4aJwoKaaWhoICcnRxrjEB8fT1paGvfv36d79+6YmJg0K2gaGBi0+Y2R1kbTRLbo6GgiIiIoKiqiY8eOjBs3rpkRzMzMrE13WpaXlxMXFydtTCUlJdG1a1dkMpm0MdWW/4+5ubkEBgbi5+dHbGwsv/vd75DJZLi7uzNv3rx2PQZBtTZBQUGEh4fT2NgopU54enqKMZBPQGZmJkFBQQQGBhITE0O3bt1wcnLC29sbT09Pev8/9s47LqorYf8PzQIIKkqRjrShV0UQRcW6YNmI0ST6S2KiKZbEdbPpunnfZOMmu0mMmqgxcaOmkdhARUVQHFB673WYYeiM1JlhCr8/fO/ZGUBEBWaA8/18zudOnzPn3rnlnOc8j6GhqquoMrKysnDmzBn88ssv4PF48Pb2xrPPPouNGzfC3Nxc1dV7bGpqavDll1/i6NGj0NDQwNatW7Fz585hF6FUVFTg9ddfx9WrV7Flyxb84x//wHvvvYczZ87g1KlT2LBhw7B+P6V/2tra4OzsjNraWmhrayMtLQ2enp6qrtaw8N1332Hnzp3g8/mPLHY8ceIEtm3bBjab/cjRgzweD8uWLYNEIkF8fDwsLCwe6f2PQmVlJbZv347Y2Fi8/PLL+Pzzz9XiWpjNZuPgwYM4e/YsrK2tsWvXLrz00ktqL5wRCoWIjY3FqVOncOHCBWhqaiI0NBQRERF46qmn1L7+A9HU1IT4+Hgi8uJyuTAyMsLixYuJyGusRxQKBAIkJSXhzp07YLPZSE1NRVdXF6ZPn47AwEAEBgYiODgY/v7+o3ZyyeMgk8lQVFSk5OCVnp4OkUiEKVOmwMPDQ8nFa7xHNTPuR+np6aS/MjU1FfX19QDuu/H0FiG5ubmNq23qcWDEXYxrFxMdKBaLoa2tDXt7e7i7u8PNzQ1ubm7w8PCAnZ3dqO0DUAWK4q7ewiORSARtbW1YWVn1ERxRN6lHh8/n92nn3Nxcsp8wNDSEvb19n7QTZ2dn2t9NoVAoFMoIQ0VfFAqFogKkUikqKipQVFSE0tJSlJWVkSWXy4VcLgcAWFhYwMHBAfb29n2W9EJVveHxeCQisrS0FBUVFSgvL0dFRQXa29sB3HcIs7GxURKCKd6mLnCqofds4PT0dGRmZqKrq4vYvit2Fvv6+o5bN6PhorKyEsnJyUhJSUFycjIyMzMhFAphaGhIYiH9/Pzg5+c3rAOQw01tbS3YbDZiY2MRHR0NPp+PmTNnIiQkBKGhoVi2bBlsbGxUXc3HorGxEVeuXEF0dDQuX74MoVAIb29vIgBzcXFRdRVVRlNTE2mbq1evorW1FS4uLggLC0NYWBjmzZsHbW1tVVdzVMHhcHD16lVERUXh6tWrkMvlCAgIIIPbo3k/8SQwbnyRkZH4+eef0dzcjHnz5iEiIgLPPvssZsyYoeoqPhb37t3DsWPHcOjQIfD5fKxduxZvvPEG5s+fP6zfGxUVhZ07d6K1tRX79u1DeXk5vvnmG3zxxRfYuXPnsH43pX9Onz6NzZs3AwCCgoJw+/btMemwO3fuXMyePRs//fTTI72vrq4OLi4ueOGFF/Cvf/3rkd5bWlqKZcuWQU9PD9euXRs2RyupVIrDhw/j/fffh42NDY4fP46AgIBh+a7B0t3djQsXLuDzzz9HSkoKgoKCsHv3bvz5z39W6wFMkUiEmJgY/Prrr7h48SK6u7uxdOlSbNy4EWvXroWBgYGqq/hYSKVSZGdnE/F8ZmYmNDQ04OXlhdDQUISFhSEwMHBMCyaYqEY2m43ExERkZmZCLpfDzs6OuFSNhQkyj4JcLkdJSQkyMjKQlpaG1NRUZGZmorOzE7q6usTF28/PD/7+/nBwcBiTx4fBoijcYEReTNyaYh8HI9iYO3cujI2NVV1ttaa3GIYRerW1tQG4P8FXUTDHRGBSl6PB09zcTJI0CgsLSbpGdXU1enp6MHHiRDg6OoLFYoHFYhGxkZOTExUnPgIikQjFxcUoLi4mbV1UVITi4mKIRCIAgLm5OVgsFkkvYRzTTE1NVVx7CoVCoVAoDFT0RaFQKGoG4w7GxAcqzqapqqoigjDGIax3nKCzs/Oonrk7HhAIBH1iIpnS3zrur9jY2IybDl11QHHWMNOhl5SUhJaWFmhra8PR0VFJBObt7U3/h0OIRCJBTk4OkpOTiRispKQEcrkcJiYm8PPzg6+vL1mOhqid3sjlcmRlZREXMDabDaFQCEdHR+ICFhISMuxxZsNBR0cHYmJicPHiRVy6dAktLS1gsVgIDw/HypUrMX/+/HErclKMLIyKikJBQQH09PSwaNEihIeHjwu3iqGmpaUFly5dwoULFxATE4Ouri74+vpi7dq1WLVqFby8vMbloJ9YLMa1a9cQGRmJs2fPQiqVYunSpaPa9UUul+PSpUs4cOAAEhMT4e3tjVdeeQVbtmwZtskRnZ2d+Oijj/DFF1/Aw8MDc+fOxbfffovt27fj4MGD43ZfpkqWLFmCuLg4APddrV588UUV12hoycrKgre3NxISEhAcHPxI733qqaeQkZGB3NzcR5pMkp+fj2XLlmHWrFm4cuXKsAlEU1NT8corryA/Px/vvvsu3n77bZXG9La2tuLkyZP4/PPPUV9fj7Vr12LPnj0qF6ENhFAoRExMDCIjIxEdHY3Ozk4EBQVh06ZNiIiIGLXiXsXIxqtXr6KtrU0psnHZsmVj1tGTEbkxAq9bt26hoaEBOjo68PDwQFBQEObPn4+QkBDMnDlT1dUdESQSCfLy8pCZmYnMzExkZGQgJycHHR0dpF0UBV4uLi7j9nj8qO5dvr6+1JFnACQSCcrKyojYKD8/H0VFRSgqKoJQKAQAWFpaEsERs3R1dR2V1+2qQjEqULEPvKKiAgAwceJEzJ49W8m1i7pJPTqMULH3eAOHw4FMJiMOab3HGjw9PcfN8YZCoVAolNEMFX1RKBTKKEIoFBJXsN4OYTU1NQAATU1NWFlZKTmDzZ49G7a2trC1taXuUWqOSCRSEoEx7mDl5eWorKwks6wmTZpEHMFsbW1hbW0NGxsbsjQyMlLxLxkf8Pl8JUewu3fvoqmpSSmakOmQCgoKwvTp01Vd5TFDR0cHsrKylNq/qKgIcrkcZmZmSiI8f3//UTcDkRnwYQa8bt26BZlMBmdnZ8yfPx+hoaFYvHjxqPuvS6VSsNlsXLx4EdHR0SgtLYWhoSGWLl2KlStXYtWqVaNuXQ0lJSUluHLlCmJiYnDr1i0IhUK4u7tjxYoVWLFiBebPn6/SAfHRhkgkwo0bN3DhwgVERUWhrq4OZmZmWLFiBVauXImlS5di6tSpqq7miNPa2opz587hzJkziI+Ph76+PtauXYuIiAgsXbp0VG5jd+/exRdffIGzZ8/CxMQEr7/+OrZt2zZs+8iSkhLs3LkT169fx7x585CVlYXAwEBERkaOy21KlZSUlMDDwwNisRjTp09HUVHRmBqYYqIZ8/PzH0mw+scff2D9+vW4evUqli1bNuj3paSkYNWqVXB3d8eFCxeGxR3q3r17ePfdd3H06FEEBwfjm2++AYvFGvLvGSzl5eU4ePAgTpw4AS0tLTz//PPYu3cvLC0tVVangRCJRLh+/ToiIyNx4cIFdHR0EBfH9evXj8oY346ODsTHxxMXVA6HA319fQQEBCAsLAyrV68e9ihfVcHn85GcnIzExEQkJSUhPT0d3d3dMDU1RWBgIIKCgjBv3jz4+vqOyuPzo8LEtile42VkZEAoFGLChAmwt7enrtv/x0DuXYptRd27Ho5EIgGXy+0jPCooKCDiLkXBHLP08PAYtS6KIw3z3y4uLkZJSQmKi4uJmI5xR5sxYwYRcyk6d9FJUIOnpaUFJSUlKCoqQklJCSmlpaWkP9nIyAiOjo5wdnaGo6MjHBwc4OTkBEdHx3FxnKFQKBQKZaxCRV8UCoUyRujs7FQSgSkua2tryetmzpxJBGC9i7W1NXR0dFT4KygD0dPTAz6fT4Rgiu5gVVVV4PP5YA7r+vr6sLGxUSqKwrCxNBimTvT09KC8vBwZGRlKpbm5GZqamrC3t4enpycpHh4etANrCGlvb0d2drbSIEFhYSF6enr6CMHmzJkDExMTVVd50LS0tCAhIQE3b97EzZs3kZubCwDw9PTEwoULsWjRIgQHB4+6GcWKTg5XrlxBR0cHXFxcEB4ejtDQUCxcuHDcHpeEQiESExNJ+6Snp0NXVxeBgYEIDQ3F6tWrVTpIPhrJz89HdHQ0EVLK5XKleKigoKBx5wJWW1uLX3/9Fb/99hvu3r2LqVOnYs2aNYiIiEBoaOio6/ivra3F0aNH8fXXX6OzsxOrV6/G7t27ERQUNOTf1dPTg99++w1/+9vf0NjYiAkTJsDIyAiXLl2Ck5PTkH8f5cG8//77+PjjjwEAW7duxXfffafiGg0N7e3tMDc3xyeffIIdO3YM+n1NTU1wd3fHypUr8f333w/6fXFxcVi7di1CQkLw66+/DouQIjIyEjt37oREIsE//vEPvPzyyyrb77LZbBw8eBBnz56FtbU1du3ahZdeekktnQ+FQiFiY2MRGRmJ8+fPo7Ozkwi9IiIiRp3LbXd3N5KTk3H9+nVcu3YNaWlpAIA5c+Zg2bJlWL58OebMmTPmHFwY92I2m02uVQoKCgCARDXOnz8fQUFBcHFxGfPnJG1tbcjJyVG6disuLoZMJoOBgQHc3d3JtZurqyvc3d1H3XnJUNDY2Ii8vDwUFhYiLy8PBQUFyMnJgUAgAADY2NjA3d0dHh4epI/B3t5+zP1/hgKxWEycuxQFXsx2xzgdKbocubi4UCf3R4DP5ysJuxjxUVVVFWQyGTQ0NGBlZQUnJycSFejs7AxXV9dR60450jAixd7pIIruaBMmTICFhUUf1y5XV1eYmZmp+BdQKBQKhUIZDqjoi0KhUMYBYrEYNTU1/cYJlpeX4969e+S1NFJw9MJc+PP5fNTW1vZZ14xlN3DfHt3c3Fxp/ZqZmWHWrFl0XQ8DHA4HGRkZyMrKQnZ2NrKzs1FVVQXg/n/Oy8uLdNJ6enrC1dUVEydOVG2lxwgCgQDp6elIS0sjS6btra2t4efnBx8fH3h7e8PLy2vUdIC1t7cjOTmZCIIyMzMBYFQ7gSmKnC5cuICioiJMnz4dS5YsQWhoKMLDw0fN+hkOKisrERMTg5iYGMTFxaGjowOOjo5YunQpQkNDsWjRojEbdTQcKLqKXLp0CTU1NZg5cyZCQkIQFhaG8PDwUSeifFJ4PB7++OMPREZGIikpCYaGhggPD0dERASWL18+qgZaOzs7cfr0aRw+fBi5ubmYM2cOXn/9dTz99NNDfnzt7u7GN998gw8++ABisRhaWlr48ccfsX79+iH9HsqDEQqFcHNzQ0VFBTQ0NBAXF4eQkBBVV+uJOXToEN5++23U1NQ80v59w4YNSEpKQm5u7qD3Y+fPn8emTZuwfv16/PDDD0MejVZaWorXX38dsbGxeO655/Dvf/9bJYO7IpEIP/30E77++mtkZWVh4cKFePPNNxEeHq521z4DCb02bNgwqs6JZDIZsrKySGThtWvX0NraCjMzM3KOFxoaOuaOu4wrdGJiIhF6iUQiGBoawt/fH0FBQfD19R0XjtBMfFt/k3OmTZumFDfo6+sLFouldv/J4aa5uZmIuhiRV25uLpqamgAA06dPJw5TjMjL3d2dOoz2w71791BeXt7HuauqqgpyuRw6OjqwtLRUcu1iluPVOe5R6O7uBo/HUxIc5efnIzc3l7h2KUYyKgqPnJycaALFIJDL5eByuSgtLSUCuuLiYpSWlpK+XUZA5+joCEdHR+LW5ejoCGtr63G3D6VQKBQKZbxDRV8UCoVCgUAgQEVFRb9ioaKiInR2dgJQninUXxlrnbRjje7ubnC5XHA4HFRVVZElU2pqaogobPLkycT9zdraGhYWFrCysoKlpSUsLS1hYWFBRUlPCDOzWTGSISsrC52dnUozTBVnN9vZ2am62mOC5uZmJRFYZmYmEYKZmJjAy8sL3t7eRAhmb2+v9h1mzc3NuH379phyAissLMTly5dx5coV3L59G1KpFHPmzMGKFSuwdOlSzJkzZ8gHpUcL3d3dYLPZuHbtGhH9aWpqwt/fH6GhoVi6dCkCAgLGrUva40BdwJThcrk4e/bsmBCApaen46uvvsIvv/wCPT09bNmyBW+++SZsbGyG9Hv4fD7eeust/PTTT+jp6cGWLVtw4sSJcbufGmmuXr2KFStWAABcXV2RmZk5qveBTKRzaGgovvnmm0G/79SpU/h//+//4fLly6Q9HsaPP/6IrVu3Yvv27Th48OCQnvMIhUIcOHAAn376KVgsFo4cOYJ58+YN2ecPlpqaGhw5cgTHjx9HW1sbNmzYgN27d8PX13fE6zIQikKvc+fOQSgUIiAgABEREXj66adHVQS2optrbGwsBAIBjI2NsXDhQuJopW7t/yQoRs8nJibi1q1baGhogLa2NhwdHeHr6zsuXLzkcjnKy8uRnZ2NrKwsZGZmIiMjA3V1dQDuu1IxE26YMtqc6p6UBwmSGIceQ0ND2Nvb9xEk2drajtnt5nFhxISKwqOCggJUVlaip6dHSXik2J7Ozs7UCe0hMKKj3o5dJSUlqK6uRk9PD7S0tGBra6sUFejk5AQnJ6dRJUxWJUxMa+9Ju4p98VOnTsXs2bNJ3zsV0FEoFAqFQukPKvqiUCgUyoDI5XLw+XxUVlaisrISFRUV5HZlZSX4fD7kcjmA+45FVlZWsLKygo2NDSwtLYlQyMbGBqampmovnBjPSCQS8Hi8PmKw6upq8Hg8cLlciEQi8npTU1MiAOstCLO2toapqSntSHtEZDIZOByO0ixoxQ7g3rOgXV1d4ebmRgV4Q4BivAjT+Z6WlgaxWAx9fX04OTkptb2Pjw90dXVVXe0H0p8TmFwu7xMd4+rqquqqDor29nYSAXnt2jVwOBwYGhpi0aJFWLp0KZYuXQoHBwdVV1NlNDc3Iy4uDrGxsbh+/ToqKyuVoiBDQ0Ph4+NDB4oGiUAgwLVr14izWl1dHUxNTbFy5UosX74cixcvHlcxydXV1YiMjERkZCRSUlIwbdo0rFmzBuvWrUNoaOiocUSora3FsWPHcOzYMdTX1yMsLAzbt2/H8uXLh/T8NDU1FZs3b0ZxcTFmzJiB8+fPD0u8JKUv69evxx9//AEA+Oyzz7B3714V1+jx+eOPP7Bhwwbk5+fD2dl5UO+pqamBu7s7tmzZgi+//HJQ7/nqq6/w5ptv4q233sKnn376JFXuw6VLl7Bz5040NDTggw8+wN69e0f82kBR9Dl9+nQ8//zz2LFjBywsLEa0HgPR1dWFGzduIDIyEmfPnoVIJCJCr40bN46aOHJFkVd8fDyampowZcoUzJ07d0yei1RUVBD3rsTERHKurRgpz5xvj5bj5KPS2tqKnJwcUrKzs5GXl4fOzk5oaWnBwcFBSeDl4+MzqiagPCmtra0oKyvrI+5iBElU3DU4Ojs7UVpaShyPmFJcXEwiLqdNmwYWiwUXFxewWCy4urrC2dkZVlZWtC0fAjMJuHdMoKLoSDERQjEqkMViqXWfiDogkUhQVVWFsrIylJeXo7S0FGVlZSgrK0NlZSUkEgmA+21sb29PioODA7k9nq47KRQKhUKhPD5U9EWhUCiUJ0IsFoPD4RARWHV1Naqrq8HhcFBdXQ0+nw+pVAoA0NHRgYWFBSwtLYmDFCMMs7KygrW1NfT09FT8iygDIRAI+jjCKd6vrq4m6xtQ7hxSjI9kbtMYycHR1NREoiGZDvWCggJIJBJMnDgRrq6u8PDwgKurK9zd3eHi4gJLS0tVV3vUI5FIUFJSohRDkp2djY6ODjJrn+mg9/X1RUBAgNp2yDU3N4PNZpNYnbS0NEgkElhYWCA4OBiBgYEIDg6Gm5vbqBBrKg4sXr9+Hffu3YOZmRmJthzvUZBlZWWkfeLi4iAQCGBmZoYlS5YgJCQEixYtos6Bg6SnpweZmZm4cuUKrly5guTkZMjlcnh4eCA0NBRLlizBggULxs2AB4fDwe+//47ff/8dKSkpmDx5MlauXIm1a9fiT3/606iIGJJIJDh37hy++eYb3Lp1C1ZWVti6dSu2bt06pG4jR48exe7duyEWixEWFoZjx46N6/3SSFBbWwsWi4XW1lbo6uoiPz9/yB3dRorAwECYmpri7Nmzg3p9T08Pli1bBh6Ph4yMjEGJTA4cOIB33nkHn3/+Ofbs2fOkVSbw+Xy8/fbbOHXqFMLCwnDkyJERPS/t7u7GhQsX8OWXXyIpKQk+Pj7Yvn07tmzZgkmTJo1YPQZCIBAgOjoaf/zxB65evQqZTIYlS5YgIiICa9asGRXx3Hw+n8RyX7lyBVwuF3p6epg3bx4ReXl7e4+Jaz0Oh4PU1FRS0tPT0dbWBl1dXfj5+WHu3LmYN28e5s6dO2Zdq5ioSsUJMkVFRZDL5TA0NISbm5vSdZG3t/e46dt5mLjLwMAADg4OVNw1ABKJBJWVlUqiLkbkxePxAABaWlqwtraGg4MDcZRisVhgsVj0/Ooh1NXVkTYtKysjIrqysjJ0dXUBAKZMmUKERg4ODqSdHRwcVBLHPJqQSCTgcrl93LoYMR0zeVaxf7S/QqFQKBQKhfIkUNEXhUKhUIYdZubYgyIkmdl5ADBp0iQiDOpPLGRtbT0qBAnjFalUCj6fj+rqanC5XHC5XOIextxubGwkr588eTKsrKxgbm4OCwsLmJubY9asWbC0tISZmRksLCyoQ9wDkEgkKCgoIEKwnJwc5Ofng8/nA7hvAc84gTGd8O7u7rTD7gmRy+UoLS1FZmYmiSzJyspCQ0MDgPuRJR4eHnB3d4eHhwc8PDzg4OCgdvstiUSCnJwcIgK7ceMGWlpaoK+vD09PTyKeCgwMVHsxi0wmQ1ZWFhE5JSQkQCqVwtvbmww6BgcHj1tHPJlMhvT0dOK8kZSUhK6uLlhZWWHRokVYtGgRQkJCYG1treqqjgo6Oztx584dsr1lZGRAS0sLnp6eZHtbsGDBqIo/fFyamppw+fJlREZG4tq1a5DJZMSd5qmnnlIrJ50HUVpaihMnTuD7779Hc3MzFi9ejG3btmHdunVDEsvY0tKCZcuWIT09HTo6Oti7dy/+9re/wdDQcAhqT+mPf//73/jLX/4CAFi7di3OnTun4ho9Omw2G8HBwUhMTERgYOCg3vPpp5/iww8/RGJiIvz9/Qd8rUwmw2uvvYYTJ07g2LFjePHFF4ei2pBKpTh8+DA++OADGBsb49ChQ4OOmBwK6uvrcfLkSXz99deoq6vDypUrsXv3boSGho5YHQaipqYGFy5cwLlz53Dr1i1oamoqCb3U3QGprq4Ot2/f7tdVlHGRHQvHv8bGRiWBV2pqKhoaGqClpQUXFxf4+/vD398fc+fOhbu7+5iL8G1ra0NpaamS8zQz6QWAkpMZI2Aay3GVijQ0NKCwsJBE3eXn5yM/Px81NTUA7otmWCwW3Nzc4OLiAjc3N7BYLFhZGZMmXwAAIABJREFUWam45upD7zjGgYQxio5S1FXq4Sj2uyo6d5WWlqKtrQ0AMHHiRJibm/fbvlSEODDt7e1K7cs4d5WVlaG6uhoymQwAYGJi0sepa/bs2bC3tx8Vk2MoFAqFQqGMXqjoi0KhUCgqp7W1VckdTLFwOBzU1taSC+gJEyYouYUx4iBLS0uYm5vD3NwcJiYmtLNCjREKhUqRkRwOBzweD7W1teByueDz+WhqaiKv19bWhomJCSwtLTFr1qx+xWGWlpZjNjbjUVGcaczMxM7Ly0NdXR2A/0ZEKs4y9vLyomKwJ6Smpoa4sWVnZyM3NxelpaWQSqWYNGkScWNzd3eHu7s7PD091coVTC6XIy8vD7dv30ZSUhJu374NLpcLHR0d+Pr6IigoCMHBwQgICFD7mKHW1lbEx8fj+vXruH79OkpLS6Gnp4fg4GDicuXr66t2QryRQiqVIjs7m4iW2Gw2RCKRklPasmXLRq07zkjT0NCAW7duITY2FlevXgWHw+njdDKW4qweRGdnJ+Li4hAZGYkLFy6gra0NLi4uiIiIwIYNG+Di4qLqKg6IWCzG2bNncezYMdy6dQuWlpZ46aWX8OKLL8Lc3PyJP/+7777Djh07IJVKoa+vj7feegu7du2Cvr7+ENSeoohUKoW/vz+ysrIAABcvXkR4eLiKa/VorF27FrW1tUhOTh7U6+/evYsFCxbg008/fahjl1gsxubNmxEVFYVff/0Vq1evHooqg81m47XXXkNxcTHefPNN7N+/f8RctdLT03Hs2DH8+OOPmDJlCl588UW8/vrrauF6W1FRgaioKERGRiIpKQmTJ0/G4sWLidBLnQWgzPGNmSCQnp4ObW1tJZHzaBfVd3R0ICsrS8nVt7CwED09PUriJiaqUd2FeY8Kde/qi0QiQUVFBRF3FRcXk9vMZEUDAwM4OTkRURcj8qITKO7zIPFRcXExEQ9OnToVs2fPVprs6eLiAg8PDxgYGKj4F6gncrkcPB4P5eXlKC8vR0VFBbldVlaG1tZWAPcn0iqKjhjXLnt7+1ExIUNVyGQy8Hg8st1WVlYqbcfM5FUNDQ3MmjWLCLl6lylTpqj4l1AoFAqFQhmvUNEXhUKhUNQeiURC3KOqqqrA5XKJkxQTIdnS0kJer6OjoyQEY8RBjGDIwsICZmZmo7qDeqwjFovR3NxMXOEYhzjFJYfDQWdnJ3kP4xLXX4wkjZNUnlXLCMJycnLQ3t4O4P6sbUUhmIuLy7jo2B9OmHhIxTZPT09HbW0tgP8K8BRnyvv4+KjNDGYmtocZ7MvMzIRcLieDYPPnz0dQUBD8/PzUJi6pP6qqqnD9+nXExcXh5s2bqKurg4GBARYsWEBEYF5eXuN23yASiXDnzh3cvHkT8fHxSE5ORnd3NxwcHBAcHIwFCxZgwYIFsLW1VXVVRwWK0aOMg56JiQkWLFiA0NBQLF++fMwPCopEIsTGxuL8+fO4ePEiGhsbwWKxsHr1aoSFhWHevHlqLbpk3L9++OEHNDU1Yd68ediyZQueffbZJzomVlVV4bnnnkNycjJ0dHSgq6uLHTt24C9/+QsdIBpiUlJSMG/ePMjlclhZWaGgoKDPuuvq6oJMJlO7ti8pKQGLxUJkZCT+/Oc/P/T1LS0t8PHxgbu7Oy5evDigwPTevXtYu3YtsrOzcf78eSxcuPCJ6ysQCLB//34cOnQICxcuxJEjR+Ds7PzEn/swxGIxIiMjcejQISQnJ8Pb2xu7du3Cxo0bVX5Okp+fj8jISERHRyM9PR1GRkZYtWoVwsPDsWrVKrU9t25vb0dycrKSk6Wmpia8vLwQGhqKoKAgLFy4cNQKMqRSKYqLi8n5eH/ntkxR58j2x6G2thb5+fnIy8tDfn4+cnNzkZeXh87OTmhpacHe3h6enp7w9PQkbsVj/Vzl3r17RDij6DzV23FK0Q2JxjL+F7FYjJqamj6uXfn5+eRal5mwSV2lBo9IJEJlZSURcymWqqoqiMViAIC+vj7s7Owwe/ZsUhhxl4WFxbi9rn0YIpEIfD6/3xjGwsJCEnWp6IjWuzg5OdFJGxQKhUKhUNQSKvqiUCgUypjgYSKhiooKVFdXQyqVkvdMmzatjyioP6EQRX0RCAT9ruvejzFMmDABRkZGSuvXzMwM06ZNU3psvMSI9vT0oKqqigwCMAMBhYWFEIvF0NLSgp2dHdzd3eHs7AwXFxc4OzvD2dlZbQesRgP19fXIzc1FdnY28vLySDSnWCyGtrY2HB0diRsYM8NeHQSLra2tSE5Oxt27d8mypaUFkyZNgo+PD+bOnYuAgADMmzdPLdw1HgQjymGz2YiLi0NNTQ309fUREBBAnCu8vb1V3t6qoqurC0lJSbh58yYSEhKQkpICsVgMCwsLLFiwAMHBwQgODh43UT5PgmK05o0bN5CUlASRSAQWi4VFixYRQZ2ZmZmqqzpsyGQyJCYm4sKFC7h48SLKyspgZGSElStXIiwsDMuXL1fbqBOxWIyoqCj85z//QUxMDPT09LBhwwY8//zzg47c641MJsOnn36Kv//97zA1NUVTUxMMDQ3x9ttvY/v27SoXq4wltm3bhuPHjwMA3nnnHXzyySfkuUuXLmHnzp345z//ifXr16ukfkKhEB0dHX2EJdu3b0dsbCxKSkoeei7a09ODNWvWkLhpIyOjB76Wz+fjT3/6E+rr63H58mV4eXk9Uf17enpw6tQp7N27F9ra2vj000+xZcuWJ/rMwVBdXY1vv/0WJ06cgEAgwLp167Bjxw4EBwcP+3c/CJlMhjt37iAyMhJnz54Fj8eDtbU11qxZg/DwcISEhKhlBGBDQwPYbDYSEhKQkJCA7OxsAICXlxcWL16MRYsWITg4WO2EkYOhu7sbubm5ROCVkZGB7OxsSCQSTJ06FX5+fiSm0d/ff8y437S0tCAvLw8FBQXIzc0lAi9mgpyxsTHc3Nzg5uZGrjVcXV3VZsLJcMDn85UEXYoCJeC/wqTe4i4vL69xL+wQi8WorKxEaWkpSkpKUFJSgtLSUpSWloLH4wEAtLS0YGNjAwcHBzg6OsLJyYmIj6ysrMbt9dRA9HZCUywcDoekHDAxl/0VKpp7MAO1b2VlJZih0IHaVx36XigUCoVCoVAeFSr6olAoFMq4QSaToa6uDlwul0QJ1tTUgM/nk1hBHo8HoVBI3qOvr09cwszNzWFpaQlTU1NYWFjA2NgY5ubmMDU1pa5hakxnZydZ5zweD3V1daipqUFdXR34fD65z8zqA+67xSmu31mzZpGloljM2Nh4TIrDpFIpysrKiAiMEYKVlJSgu7sbGhoasLKyUhKCsVgsuLi4DDjgSHkwUqkUpaWlRAyWm5uL3NxcVFVVAQB0dXXBYrHg6upKiouLC2xsbFTa4avoBpaeno7U1FR0d3crOSbMnz8fgYGBajmg1NPTg7y8PMTHxyM+Ph63bt2CQCDAjBkzsHDhQoSEhCAkJASurq7jtmNdMQ6SzWaDzWbj3r17MDAwwJw5c4j7x5w5czBhwgRVV1etEQqFYLPZuHHjBm7duoW0tDRIpVI4OjoSAdjChQthZWWl6qoOG0zUWXR0NBISEiCTyRAQEIDw8HCEhobC19dX1VXsl5aWFvz+++84evQoMjIyYGVlhU2bNmHbtm2ws7N75M/LyMjASy+9hIKCAgQEBCA1NRX6+vp49dVXsWfPnlHrpKNOtLS0gMVioaGhAdra2khPT8e0adOwe/dunDt3DgCwd+9efPbZZyqpX0pKCpYsWYI9e/bgL3/5CwwMDNDQ0AAbGxv861//wquvvvrQz/jkk0+wf/9+3Lx5c0AhYn5+PlatWgV9fX1cuXLlifcxGRkZ2LFjB1JTU7Fjxw589NFHwy4MYrPZOHjwIM6dOwcjIyM8//zzeO2111S2vxQKhYiNjUV0dDQuXLiA+vp6uLi4IDw8HGFhYQgKClK78wYOh4OEhATcvn0bt2/fRlFREbS0tODu7o4FCxZg0aJFWLhw4aiLMBSLxcjJySHirvT0dOTm5kIikWDKlCnw9vaGj48PEXo5ODio3bp5VLq7u1FaWqoUy1hQUEAEDYaGhrC3t1dycPbz8xuzInOxWIyysrI+4q6ioiLiDM4IPHqLu5ydncfk9fxgeVQBUm/HLhaLpZbXeKpELBaDw+GgsrJSqTDtysSEamtrw9rauo9jF3N/vIsOH8SDtlk+n4+qqqpBuXXRSYwUCoVCoVDGIlT0RaFQKBRKLxjHMCY6ksfjEXFYdXU16uvr0djYqPQeIyMjJVEQUxQFQ+bm5rRDTI1pb29HTU0N6uvrwePx0NDQAC6Xi4aGBvB4PNTX16OmpobEIQL3Z7YaGxsTIRiznpn1zjxnYmIyJtw7pFIpqqurlTrTmRnkbW1tAPp2CDNLOlvy8VAcxGAiIgsKClBVVQW5XI4JEybA3t6+TzQni8VSSXt3dnYiLS0Nd+/eJaWurg7a2trw8PBAQEAAGXRjsVhqN8gil8tRWFiIxMREEm8kEAgwZcoUzJ07F0FBQZg/fz7mz58/Jv7Tj4NMJkNRURFpo/j4eDQ1NUFPTw9eXl5E6BcSEjKmopGGg66uLmRkZJC2ZLPZEIlEMDMzw/z584mgbqy6qnV2diIuLg7R0dG4ePEi6urqYGdnh9DQUOICpo5Cwvz8fJw6dapP/OMzzzzzSAN0UqkUhw8fxnvvvQcrKyv4+Pjg/Pnz0NXVxRtvvIEdO3ZQ8dcTcvLkSbzwwgsAAFtbWzQ2NqKjo4M8P3/+fNy+fVsldTtz5gw2b94MLS0t6Orq4oMPPkBLSwuOHj2K6upqMhiZkZGBy5cv47333lPaDyQkJGDJkiX47LPP8MYbbzzwe27evIl169aBxWIhKirqicT5zc3NeO+993D8+HEEBgbi0KFD8PT0fOzPexjt7e34+eef8fXXXyMvLw++vr7YtWsXNm3aBB0dnWH73gchEAgQGxuLqKgonD9/Hp2dnfD29kZYWBg2bdoEJyenEa/TQFRUVJCI7uvXr6OyshLa2trw9PQk5zNLlizB9OnTVV3VQcNEpzMOXkwRiUSYMmUKPDw8lGIaVXU+PFT0jopnlkVFRf1eBzCR8WPRBUgikSi5TpWVlaG4uBjFxcXEdYppD2dnZzg5ORGHaicnJxgaGqr4F6gGxev3iooKEmnJLFtbWwHcn/RmZWVFREeM8MjOzg729vZUgKSAXC4Hn89XEnMpirv4fD7kcjmA+30jtra2pCiKuqytrdXSBVKVyGQyIt7qr3C5XEgkEgD3RV3W1tawsbGBjY0NuW1raws7OzuYmJio+NdQKBQKhUKhjCxU9EWhUCgUymPQ3d2NpqYmCAQCpRjB3svekZKTJk16YKSg4tLMzGzMddSOFUQiEVpaWgZc74yDmOJp1oPWfe/twNLSUiUDWU+KQCBQGozoHZ0xceJEzJ49W0mcZGdnB1dX13ErnnkS2traUFBQgLy8PBQWFpIoF2bQY8qUKWCxWHBzcwOLxYK7uztYLJZKHDE4HA7u3LmDu3fvIiUlBVlZWRAKhdDT04O3tzf8/PzU1n1BJpMhKysLbDYbt2/fBpvNRn19PSZPnow5c+ZgwYIFCAoKQmBg4KiMPxoKenp6UFBQADabjbt37+LOnTsoKSlBT08PnJycEBAQgICAAAQGBsLV1VXthH7qRG9XtYSEBLS1tcHU1BTBwcFkkN7Hx0et/idDgUwmQ1JSEqKjoxEdHY2CggIYGBggNDQUy5cvx4oVK9TOAU0mkyE+Ph7Hjh3DhQsXoKWlhbCwMGzbtg1LliwZ9DoqLS3Ftm3bcPv2bWzduhUGBgY4fvw4NDQ0sGvXLuzatYu6aD4mPT098PHxQVZWVr/PT548Ga2trSo579q3bx8OHDgAsVgM4L7jh76+PtatW4dvvvmGuAjv3LkThw4dwsaNG/HDDz9g0qRJaGxshLe3N7y8vHDy5EnMmDGj3+84e/Ysnn32WaxcuRJnzpzB5MmTH6uucrkcp0+fVopy3Lx587Dth0pKSvD999/j6NGjEIlEiIiIwJ49e544kvJxKC8vR1RUFKKiopCQkAAtLS0sXrwY69atw+rVq9VmULm3IPvmzZtobGwkgmxFIfHjbgcjTX8Cr7S0NIjF4jEn8Oru7kZxcTGKiorI+X1eXh7KysoglUoxYcIEODk5wdXVFe7u7nB1dYWbmxtsbW1H7W/uD6lUiqqqKpSVlSmJu0pLS8HhcEi/iomJCRwcHODk5KQk7rK1tR2XIhqxWIyampp+3Y8KCgqIkz3TH9Hb9cjFxQVOTk7jsu0eBOMmxfTvKLapooMcEw/6oJjA0eacOBIM1qlLsW2ZvjLFtrW2tqbXlRQKhUKhUCgKUNEXhUKhUCjDiEwmQ319PWpra1FbW9snUpBxj6qvrycz1oD7g1CMcxTTwWFiYgIzMzPMnDlT6TaNllRPxGIxmpub+xUG9n6MsfhnUBSIDSQSNDY2VvvOWaZTT1EIpjhDXUdHB5aWlkqdzowgbCzOUh9uWltbUVZW1keAx8S9KIrvFNt7JKM5mIHJwbo0qJvLERNpyQhzCgsLoampCScnJ8yfPx9BQUEICQlRO4HKSNLW1oaUlBQS+5mYmAiBQEDdwB6R7u5upKamIiEhAQkJCUhMTER7ezuMjY0RHBxMRIeenp5qfyx4VCoqKnD58mXExMQgPj4eXV1dcHFxwYoVK7B8+XIsWLBArQTDAoEAkZGR+PHHH5GYmAhLS0s888wzeOmll2Bvb//Q9/f09OD777/HO++8A01NTezfvx8ikQgHDhzAvXv3EBERgXfffRfOzs4j8GvGBgKBAPv378ehQ4eI40Z/pKWlqSRWdOPGjYiMjOxTNy0tLZiYmGDfvn147rnnYGZmhra2NuLQdPHiRbz44osoLCzEm2++iV9++QXx8fF9hDxfffUV9uzZgx07duCLL754bGEIE+GYmZmJV199Ff/zP/8zLA50crkcly5dwsGDB3Hjxg3Y2dnh5ZdfxksvvTSioke5XI7k5GRcvHgRUVFRyM/Px7Rp07BixQqsWbMGK1euVAsHvt4iYeY4O1qjlwUCATIzM5GVlUWWRUVFkEqlMDQ0hI+Pj9K5ob29vVqdGw6Wjo4OFBUVobCwkMQP5ufno7KyElKpFNra2rCzs4ObmxsRdrm5ucHBwWFUTgp6EHw+X2mCUH8CJcY9urc4yd3dfVy6dg0Uw8hc5wH9txtT6LX1fXp6elBXVwcOh4Pq6mpSqqqqUF1djcrKSuJirqWlBXNzc+IepejaZWtrSydr9kIoFILD4YDL5aK6uhpcLpc4dA3WqYsptG0pFAqFQqFQHg0q+qJQKBQKRU2or69HQ0ODkhhMUSTGFGZWIcO0adNgYmICY2NjmJqawsTEBDNnziSxgjNnzsSsWbMwc+bMUTOze7zR2dkJPp9PtgE+n4+GhgbU1tb2eYxxhAD+Gy/JxEjOnDkTM2fOhKmpKYyNjTFz5kyyXcyYMUOtBsg7OztRVFREZrWXlJSQGd1M9JKBgQEcHR2VZnI7ODjA0dFx3LoqPS4CgQCFhYUoLCwkg01FRUWoqqqCTCaDtrY2bG1twWKxSAwKM+t7JGYoi8Vi5OTkIDU1FWlpaUhLS0NBQQFkMhlmzJhBnMD8/Pzg4+MDCwuLYa/TYKmrq1NyAsvOzoZMJoODgwMCAgIwb948zJs3D+7u7uN2NrKi0C8xMZGI5Xp6ekiUYVBQEHx9fTF37twxNbA5lEilUmRkZOD27du4desW2Gw2EdP5+/sjKCiIbG+jKa7rYUilUty9exfR0dGIjY1FRkYGJk2ahKCgIISGhiI0NFQlop0HkZubi5MnT+LMmTNoaGhAcHAwNm3ahPXr1z/QkYnh3r172LdvH44cOQIvLy/885//RG5uLr788ktwOBysXbsWe/bsQVBQ0Aj9mtFHT08PTp48ibfeegtNTU0Pff3hw4fx2muvjUDNlHF3d0deXl6/zzGDnLNmzQKfzyeD+To6Opg0aRJEIhGuXLmCDRs2oKWlBevXr8dvv/0GDQ0N9PT04O9//zs++ugjfPjhh9i/f/9j1a+2thZ/+9vfcPr0aYSEhODrr7+Gq6vrY33WQPD5fJw6dQpHjhwBj8fD4sWLsW3bNvz5z38esWOmUChEbGwscRrk8/mwsbHBsmXL1CZqtqOjA3fv3iUCr95xwIwTpLe3t9o7P3E4HGRlZSkJvDgcDoD7Dk5eXl7w8vKCt7c3fH19MXv27FE38H/v3j2Ul5f3mYTBxLMzk14Uo9lHehLGcKPoAq0oUCosLCROPg8SKLm5ucHU1FTFv2BkEYlEqKqq6hO/yCxFIhGA+5PDFKMXFZe2trZ0QiDuX1cqirk4HI6SwIvL5ZI+FS0tLcyaNQvW1tawtraGlZUViQi0tbWFtbU1vS75PxixnGI7Mu3L3G5sbCSv19PTI+1qaWnZR9hFRV0UCoVCoVAoQwsVfVEoFAqFMsroHS+o6BrV+3Z/EYMPihbs7SRFrejVE2a9KgrB6uvrUVdXh8bGRjQ2NqK2thaNjY1kpjSDgYEBTE1NHygOY0SCTFEV/bmDMfeZDm9mkEDRGYy5T8WNg0csFhPhHSMGY+4z24+JiQkRgzk7O4PFYsHJyQlWVlbD2lErkUiQk5ND3KLS09OJQ9zUqVPh6uqqlrE+7e3tSEpKQlJSEu7cuYPk5GS0tbVBX18ffn5+CAwMJJGH49nl6kFuYPr6+vD09KRuYIOkoqJCSQTAiOns7OyIkG60CAEGC5fLxdWrVxETE4PY2Fi0trbCzs4Oy5cvx7Jly7Bo0SK1cAGRSqWIiYnB6dOnERUVhe7ubixZsgQbN27E2rVrMXXq1Ae+Nzs7Gzt37kRiYiJefPFF7Nu3D5mZmThw4AASExPh4+OD3bt345lnnhlzLm9PyubNm3H69OlHev2PP/44jDXqHz09PSJ86A9FwZNMJlN6XEtLC8uWLUNMTAykUik0NTXx9ttvY9++fXjhhRfw+++/44cffsAzzzyj9Jn37t0bcLsD7h97jxw5gg8//BAGBgb4+OOPsWXLlsf8lf0jl8sRExODb7/9FpcvX8aMGTPwwgsvYNu2bbC1tR3S73oQjY2NuHLlCqKjo3HlyhV0dXXB29sbYWFhCA8PV7mQtKGhAcnJyWTfnpKSAolEQvbtjNBrOIR4Q4VMJgOHw0F+fj45j0tJSUFDQwMAwMzMTOk8jjmfH008Try9i4sLnJ2dR/1EgJ6eHvB4PBK/WFpaSm6XlZURUc3UqVNhb28PBweHPmUsCdQfRu8Ixt6xgYwgEBjYrcvGxmbMnM89LkKhsE/komJ7KrblxIkTYW5u/sCIQCsrK3oe9X8obqO9t08+nw8Oh6M0AVVxO+3dtmZmZlTURaFQKBQKhTLCUNEXhUKhUChjGKFQSByjGhsbSdRkY2Mj6urqiItUXV0d7t27p/RePT09EiHICINMTEwwY8YMzJgxg4iEmPuqngFP6UtHRwdZx42NjWRdM+IwRjzW1NSExsZGpYghbW1tIv5inOR6O4fNmDGDPD8SzlsSiQSVlZUoLi5GSUkJcQcrLi4Gn88n9ba1tYWjoyOcnJxgb28Pe3t7zJ49m3bqPiKK0Sv9DWRNmDABFhYWfYR3TBkO2tralOJ/MjMzUVBQAKlUSsRC3t7epLi6uqrFvokR5jDipszMTMjl8j4uV6Mlhmk4kMlkyM/PR1JSEu7evYu7d++iuLgYGhoacHR0xJw5c0i8k7e3N/T19VVdZbVEUUyXmJiIpKQkdHV1kcgvZltbsGCBWgijnhSpVIo7d+4gJiYGV69eRWZmJjQ0NODv74+lS5ciNDQUAQEBKv9fMU5CkZGR+OOPPyCTybB06VJERERg3bp1/R5De3p68PPPP+Odd95Bc3Mz3nzzTbz11lsoKSnBV199hZ9//hkWFhZ45ZVXsH379oeKecYLjY2NiIiIwK1btwb1ekdHRxQXFw9zrZSpra3FrFmzHvi8trY29PT00N7e3m80JePo1RsnJyfU1dXh7NmzWLx4sdJz2dnZCA8PR0ZGxgMd5+Li4rBr1y5UVFRg165deP/994d0X1tXV4f//Oc/OHr0KCorK+Hr64tt27Zhy5YtI+JGm5+fj+joaERFRSEpKYk4BoaFhSEiImLAdTKc9PT0oLCwEHfu3EFiYiLu3LmDoqIiaGlpwcPDg8T5zp8/HyYmJiqp48Po6OhAbm6ukoNXXl4ehEIhJkyYAFdXVyUHL09PT7WIyRwMUqkUFRUVSpMkmKj61tZWAICRkRFYLBYRdLm6usLZ2XnUR333FioplqKiIiIA6R0fPx4jBdva2sDhcFBVVYWqqiriLsU8puiANH36dOKAZG1tTRylmAjB8e5o3TvKUlGAVFZWRv53wH3hUX9iLuax8bL9PQzmv1xTUwMOh6N0m8vlgsvlKrmj6uvrw8rKirh0WVlZKd23sLCgDmgUCoVCoVAoagYVfVEoFAqFQgFwvyOIcYmqr69HY2Mj+Hw+EQsxpampCU1NTZBIJErvNzQ0JE5RimIg5nbv+6oegKX0hZk1+zAHOeZ+b5hO12nTpvVxkev9mLGx8ZAKsNrb20k8ZElJCYqLi8lMc4FAAOB+LJKNjQ0RgTGCMHt7e9ja2tJtcpA0NzeTaE6mzZkZ/opObI6OjkqFiebU09Mb0vqIRCLk5eUhIyODDDTm5OSgq6uLDDQyIjAvLy94enqqfDBFIBDg7t27uHPnDu7evdvHDczf3x9z5syBv78/rK2tVVpXVdLc3EzaKC0tDenp6WhqaoKmpiacnJyUHEK8vLxUvl7VEYlEgszMTCImSEpKQk1NDbS1teHl5UWc5+bMmYPZs2erurpPTHNzM+Li4hAbG4vr16+jsrISurq6CAwMJFGQPj4+Kh0AbG1txYULFxAZGYnOom9SAAAgAElEQVRr165BU1MToaGhiIiIwFNPPdVnH9nd3Y2TJ0/i/fffh1wux1//+le88cYb4PP5+PLLL3HixAloaWnh+eefx969e2FpaamiX6Y+SKVSvP/++zhw4MBDX6uhoYGGhoaHRm8OJbdu3UJISEi/z+no6GDGjBl47rnn8MUXX0AqlQ76czU1NfHtt9/i5ZdfVnq8pqYGvr6+qK+vx/bt2/Htt98qPc/j8fDuu+/i1KlTCAsLw1dffTWk4m02m42DBw/i/Pnz0NXVxdNPP42dO3fCzc1tyL6jP5ho2MjISJw7dw5cLhczZ87EihUrEB4ejpUrV6pEQNzZ2YmUlBQi8Lpz5w6J6vXz80NQUBBx81JHYRSfz0d6ejpxt1J0Yp0yZQo8PDyIo5Wvry/8/PzUKmL+QTQ2NqK4uJhMLmFEXhUVFeS619zcnLjfMsIuFxcXGBsbq7j2j09dXR0R1zBRgsxtxes9U1NTIqhhIgXt7Ozg4OCgtmLEoaQ/d6neoiQGxgGpPzHS7Nmzx7VIeyA3qYqKClRXV5PjHnM8fJCgy9HRkZ774/61MI/HQ01NDaqrq5VuM+Ku+vp68nodHR2YmZnB0tKSFEbQZWVlBUtLy3HlwkehUCgUCoUyVqCiLwqFQqFQKI9FS0sLcYxqamoiorDe9xkXqd4iMSZqsLdjFCMamzFjBokiNDIyGhWDBeMJJmZUUQSmKArr/VhDQ4NSPBFwP250IGGY4n0LC4vHFmX1ni2sWCorK4lbxrRp0/p1raIdyoNDLpeDy+USEZii+K6qqoqsfwsLCyIAY5aOjo5DKrwbbKSQ4qCkKqN25HI58vPzicNVamoqCgoKIJPJYGxsDH9/f/j7+xNB2GgeXHxSmMFmpqSmppKBjN5RUUFBQXTQoh+qq6uJ2CApKQnZ2dmQSqUwMjIiYkNmOdq3tfLycsTGxiI2NhZxcXFoaWmBqakpEYAtWbIEFhYWKqufQCBAVFQUIiMjERMTAx0dHYSFhWHz5s1Yvny50j6xpaUFH3/8MQ4fPgxLS0t8+OGHeOaZZ9Da2oqjR4/i66+/RlNTE55++mns2LEDc+fOVdnvUheOHz+OHTt2oLu7e8DXXb58GStXrhyhWt2v16uvvtrnvEhHRweWlpaIj49HaGgoysrK+nX0ehCampqYNGkSUlJSSOxfR0cHAgICUFJSAolEAk1NTWRkZMDT0xNCoRAHDx7E//7v/8LMzAxffvklVq1aNSS/8d69e/jtt99w8OBB5OfnE1ev5557Drq6ukPyHf1RW1uLy5cv4/Lly7h27Ro6Ojrg5eWF8PBwrF69Gr6+viMu+mSOW0xUY2pqKrq7u8kxi3H89Pf3x8SJE0e0bgPR2dmJvLw8ZGdnIzs7Gzk5OcjJyUFbWxs0NDRgZ2cHT09PeHh4wMPDA56enmrvqiORSMDlcvu42Obl5aGurg5A/062Li4u8PDwUEsR3sNQ/M29S2lpKdra2gD8d//TX6Sgg4PDqPztjwJzvdifEKm8vFzJFX2gWLvx0FYPoru7G7W1teDxeODxeCQSkMPhoLq6GtXV1UpuUgYGBrCysoKNjQ1xkmKKjY0NzMzMxn2UJSOSU9wumdvMUjHOcsKECTAyMiLbpOL2ydy2trYe9fGyFAqFQqFQKJS+UNEXhUKhUCiUEUEoFD7QMar3fR6P12eAbtKkSUrCoAc5STHF3Nx8XM+iVUcEAsGAwjDF+/25yfW3DTxsOzAzMxtw8Km9vR1lZWUoLy/vs+TxeGSwddasWUoOYYoz3I2MjIa13cYCvQecFAfaFDuqmUGU3uK7oRLeVVVVISsrCzk5OcjNzUV2djYqKiogk8mgp6cHFxcXeHp6wt3dHe7u7vD09FSZaKizsxOZmZlKAqfCwkL09PRQcVMvHkUIFhgYSP+zvZBIJCgpKSGChIG2teDg4FF7bJXL5cjMzCQiMDabDZFIBDs7O+Kqs2LFCpXFcTU3N+PSpUs4deoUbty4AUNDQ4SHhyMiIgIrVqwgMTpVVVXYv38/zpw5A3t7e3z44Yd4+umnIZVK8dNPP+Grr75CVlYWvL298corr+CZZ54Z13GoSUlJeOqpp4igoz/27duH/fv3j1id3nrrLRw8eBBisZg8pqOjA2dnZ8TGxqKqquqxRXva2towNTVFeno6jIyMsGbNGly9epU4p2hra2PevHn461//it27d6O+vh5//etf8c477/QRHLW3tz/ysTc9PR3Hjh3DqVOnoKOjg40bN+K1116Dp6fnY/2ehyGXy5GamopLly7h8uXLyMjIwKRJkxASEoKwsDCEhYWN6H9aKpWiuLiY7E9v376NqqoqaGtrw9HRkQi8goODYWtrO2L1ehhMpLeiWL64uBgymQxTpkyBo6MjEckzDqrqfCxlBDyK55v5+fnkNwF9J3swt21sbEad0GSgCS4cDkfpN/cn6rKzsxvTQhCJRAI+nw8ul4vq6mpwuVwSu8gsu7q6AABaWlowMzODjY0NbGxsYG1tTZZMUSdx5kjR3t4OLpdLBEhcLhd8Pp+4SvH5fKXjrKamJkxNTYl7lGI8IPPYaD2fHCrq6+tJ3xefzwefz0dNTQ1qa2tJWzc3N5PXT5w4ERYWFkS4ZW5uDnNzc1hZWcHc3BwWFhYwMTFRa+EthUKhUCgUCmX4oKIvCoVCoVAoaklrayvq6+tJnGRzczOam5uJkxhzv7m5mdxnhCMMurq6mDFjBoyMjIhjGHOfKYzLGHN/ON0HKI+G4vpWXOe9139LSwu53TsGaeLEiZg+fbrSOu9vO+j9Gk1NTXR3d4PH4/UZPMnPz0dJSQn5LsaxrL8BFOoS9nA6OjpQWlr6UOGdmZkZieNUFN/Z29s/0aBBV1cX8vPziRCMEYMxnezm5ubExcLDwwPu7u5wdnYmAoyRpKWlBampqaSkpaWBz+crxR16e3vDx8cH3t7eMDQ0HPE6qgvV1dVKQrD09HQ0NjZCU1MTDg4OSkImb2/vcevK8CDa2tqQk5ND3Glu376Nuro6aGlp9YnWVDd3msEiFAqRmJiImzdv4ubNm0hJSYFEIoGzszNCQkJIUUVsVXV1NX777Tf88ssvSE9Ph7GxMdasWYO1a9diyZIlmDhxIkpKSvDRRx/hl19+gbOzMz788EOsX78empqaRHhz+vRpaGlpYdOmTcMqvFF3ampqsG7dOqSmpvb7/PLlyxETEzNi9Vm9ejWio6PJ8U1bWxt+fn6IiYmBoaEhXnvtNXz33Xd9xO8aGhqDcv7S0NDA3Llz4eXlhePHj/dxFGNes2nTJnz22WeYNWtWn+c//vhjJCcn4+LFiw/9vra2Nvzyyy84fPgwcnJyiKvXcAkOOzs7ERcXh+joaERHR4PP58PExATLli1DeHg4VqxYMWLnXq2trUhNTQWbzUZiYiISExMhFAphYGCAOXPmEEFpYGCgWlxjNDc3Izc3FwUFBcjNzUVeXh5yc3PR2toKDQ0N2Nra9nHvsrOzU0sRgUAgIFHuii6zJSUlxL3KwMAATk5OcHR0hLOzM7nt6OiIyZMnq/gXDJ6BogUVXai0tbVhZWXV7zXJWI0VlMlkqKurA4fDQU1NDXg8HjgcDnGb4nK5qKurI/0EOjo6MDc3VxJ0KYq6LC0tVXKOr0qYiVkPcpKqqKiAQCAgr2eur3s7SCm6So3HdmTo7Owk2x0j6GJiFhmRV11dndIkRwMDA5ibm2PWrFlEzKUo6DI3Nx8XMaoUCoVCoVAolMeHir4oFAqFQqGMGfoTBDGPNTY29isU6z0QNnnyZCIIYmImGVHQQEVbW1tFv5qiCOMoN5CbWO9SV1fXZxC1t6tYbzcxAwMDSKVSdHZ2orW1Fa2traRTvLKyEo2NjeSzTE1NYWtr26fY2dnBwsKCbjsDIBKJUF5e3q8gjMPhEOGdkZGRkgjMzs6OtLO5ufljOTYIBALieMG4X2RkZEAoFJJBNcYVglm6urqOeBRtTU0NEYFlZGQgMzMT9fX1JHrJx8eHiMB8fHwwc+bMEa2fOtHbESwtLY24EpiZmSnFfao68lMdqa6uRkpKCinp6eno6OiArq4u2b6Y4uLiMur2bZ2dnWCz2bh58ybi4+ORnp4OqVQKFxcXLFq0CCEhIVi4cOGI/4fKysoQGRmJc+fOIS0tDVOmTMHKlSuxbt06rFy5EjU1NfjHP/6Bn376CTY2Nti5cye2b9+OSZMmobW1Fb/++uuIR+ypI0KhEFu3bsXPP//c57lp06ahubl5xIQt9vb2KC8vB3BfpLFkyRKcO3cOkydPhkgkgrGxMdrb25Xeo6WlBblcPqDoS1tbGzKZDNOnT4eXlxfi4uL6fb2mpiZmzpyJqqqqPscsiUSCl19+Gf/5z3+gqamJ6upqmJub9/t9jLjwzJkzkMlkCA8Px+7duxEUFPSoTfJQKioqEBUVhejoaCQkJEAmk8HLywthYWEIDw+Hj4/P/2fvzqOjrO/9gb9nzySZZCb7ZIMAISEgIgEUBRQFi1701Fpc2h6XWm31qlWv1rYu99fWtt6r1tpbq1WP1i5WbRU8uKEIXUBkUYoSsgDZl8lkksxMklkzM78/ON9vn5nMZIFswPt1znNmnzzzZDIz8Lzn/ZmU3199fb0MeO3YsUO2IiobA8877zxUVFRMaVCqv78fhw4dwueffy4DXlVVVejo6ABw7Dm/YMECzJ8/PyrUPt0C0G63Wwa7Dh8+LINdR44ckWPidDodSkpKUFpairKyMhnsKisrg9VqneJHMDrd3d2ycUq0TzU0NMjjIsSmUqlgtVpRUlISFVgS/64oLi4+6d57RxIbSIodwdjc3Bz1pR/RZhZvrN2p3mgWKxAIwOFwDAlwKUNdTU1NGBgYkLdRfpkpXpjLarUiLy/vpGvDGw/BYBCdnZ1obW2V4a2Ojg4Z6BLNZ8r3b71ej7y8PNnQJUJd+fn5KCwsRF5eHoqKipCSkjKFj4yIiIiITgUMfREREdFprbe3d0iTVLxWsZ6eHrn4fL4h95OWlibbomIDYcOFxk7Xb8BOJz6fDz09PQlDYfGCY11dXUNaxZRBsbS0NBgMBqjVaoRCIfj9fni9XtlgJ55DIjwUGwgT3zgfaTzl6SwYDKKpqSkqDCaONzQ0yG2s1+vlDjGxU0y5rccyFjEYDKKmpgZVVVU4ePAgqqurcfDgQRw9ehShUAg6nQ5z586VATARBistLZ3UnXDxxjTFjutTBpymeuf0VGppacH+/fvx+eefy+XIkSMIhUIwGo2YP3/+kJGf03mk1WQKhUKorq6OCh1+/vnn8Hq9SEpKwsKFC2XgsLKyEgsWLDipGsEGBgawa9cuOQpSNIEpwx1r166d1BFtXV1deO+99/CXv/wFH3zwAcLhMM4++2xs2LABixYtwksvvYRXXnkFubm5uOeee3DzzTfLpqUdO3bgV7/6FTZt2oSUlBRcddVV+O53v4uKiopJW//p4KmnnsJ//dd/DQn9V1dXo7y8fMJ/vnhtCQaDUKvV+OpXv4o//vGP8vPga6+9hmuvvVaGtfR6PVQqFcrLy3Ho0KEh7V/Av8NeF1xwAW699VbodDpceeWVQxpwlTQaDR555BF8//vfl+f19fXhyiuvxLZt2+R72n//93/jgQceiLrOn//8Zzz77LPYv38/ysvLccMNN+Dmm28e1zHDPp8PO3bswNatW7Fp0ybU1tYiMzMTF154oQx6WSyWcft58XR3d2P37t3Ys2cPPvnkE+zatQtutxupqamyxWv58uVYvnz5lDUoifG84j1fHNbU1CAcDkOv12POnDlR7/nz589HSUnJtHnf9/v9aGtrixrFKJaGhgZEIpGEDVYVFRUoKyub9kGneMGleE1dQPwRjCJ0U15efkqFQxI1TInjsYEki8USFUCKDXSdTu1Sov1tuIauxsbGqPeB2EBcbJirqKho2gU/J4P4vwDltot3aLfboz47KJ+PiQ5Pp5AhEREREU0thr6IiIiIxsjj8USFwJRLbEBMuXg8niH3ZTKZRhUSU7ZOWSyWU+o//E9GkUhkSEhQOWYyUeuc3++Puh+1Wo3k5GRotVqo1WqEw2H09fXJ/1DWaDSydS4vLw+zZs1CWVkZ5s+fL8Nip1tby2j19vbGHYNTX1+PpqYmuY2HG89ZVlY2qtFUfr8f1dXVMgQmDuvr6xEKhaDX61FWVhbVDFZeXo7S0lLo9fqJ3hQAjo2g+uKLL6KarsROYbPZHBVUq6ysxOLFi0/b55bYia5seVO2glkslqid5xUVFViyZMmkt7xNR6FQCDU1NfI5dujQIXz22Wfo6emBVqvF3Llzh4zWPFnez1wuF/75z3/iH//4B3bs2IF9+/YhGAyipKQEK1euxKpVq7By5UrMnTt3Utant7cXW7duxebNm7Fx40Z4PB6cddZZWLVqFXp6evDXv/4VSUlJuPXWW3HbbbfJxpuOjg688MILeP7559HW1oY1a9bgW9/6Fi6//PJRh/ICgQB++MMf4qc//elJFeTzer3o6urCG2+8gQcffDDqc9kFF1yAvLw89PX1oa+vD/39/XA6nQiHw3C5XPJ6kUgkKqABYEj4yGw2Q6VSwWw2w2QyITU1FSaTCWlpaYhEInj++ecBAOvWrcPDDz+MgoIC5OTkICkpCRdffDE++ugjqFQqhEIhfOUrX8FNN92E9evXR7V26fV6BAIBzJgxAzfccAO++c1vori4GJ9++ilWrFgBv98/4ihIo9GII0eOID8/Hw0NDfjSl76ExsbGqGBZYWEhmpqaUFNTg9///vd47rnn4PF4cPnll+OWW27BmjVrxv6LSKCpqQnvvvsu3nnnHWzfvh1erxeLFi3CpZdeivXr12PZsmUT1i4TCASwf/9+7NmzRwa9Dh8+DACYPXs2zjnnHCxfvhznnnsuFi5cOCU78UVbpTLgdfDgQfj9/qgGUuV707x586ZFI4/H45EBfdHYJY63tbUBOPaZt7i4GHPmzEFpaWnUUlJSMq3DPHa7Hc3NzWhqaopq7GpoaEBTU5Ns/lGr1bBarfLLCLHjBYuLi0+q19Th2O122Gw2tLS0oKWlBW1tbWhubkZLS4scu6j8IlVWVhYKCwtRVFQkR9qJ44WFhSgoKDhlts1wXC6XDBi1tbWhs7MT7e3t6OzslOMBm5ubo8JwRqMRRUVFMrglmqSKioqiGqVOt/CRCHLZbLaobWi329Ha2iq3sbKZS6VSITc3Fzk5OSgsLEROTo4crZifny9bu/Ly8k6L5yMRERERnTwY+iIiIiKaROIbzcO1So1m/CAwdAThaJecnJxp/434U9XAwEBUk1y8sFhPTw/sdjscDgecTicGBgaGtIop6XQ6GI1GpKWlwWKxIDs7W/5H/+zZs5GXlzfkOXC6/yd1MBhES0tL3DExymYJILpxIbZdYM6cOUhPTx/258Rr4KitrZWhMzFWUDRWiOOzZs2a8O3gcrmiWq4OHDiAqqoqOcKytLQUCxcuxJlnninHPxUVFU34ek1XI438FC1v07VNZaqEw2HU1dXhs88+k8v+/fvhdDqh0WhQXl4uG8HOPPPMk6ZNzePxYNeuXTIItnv3bng8HuTl5WHlypUyCLZgwYIJ39Hq9XqxdetWvP3229i0aRPsdjvKysqQnZ2NqqoqDAwM4Oqrr8Zdd92FxYsXAzgW0HvnnXfw29/+Flu2bEF6ejquueYaXH/99Vi2bNmwP2/z5s24/PLLsXjxYmzatGnavC643W4cPXpUhi3EYUNDA5qbm4eMTJxuTCaTXEez2Yxrr70Wa9aswUMPPYSamhpEIhGo1WpoNBps2LABN998M1atWiVfYxobG7FkyRI4nc4hTWaJXH/99bj11lvxH//xH3C73XGbxMrLy1FTU4Py8nJ8+9vfxvXXXw+LxYLOzk7cdtttePHFF4d9L0xkcHAQn3zyCd5++21s3boVn332GYxGI84991ysX78eV155JQoLC8d8v6MhAlRiTOOnn34Kn8+HtLQ0nHHGGaisrMSKFStw/vnnIycnZ0LWYbh1i/3csH//fhlSjG3snKrx0rGGC9srG4fE56rYzzzz5s2blmFz0USWaMRgXV1d1GvLqd7UFdswFe+wubkZ/f398jbxRgYqj5eWlp7SDVODg4MyBCfCR7HBLhFO8nq98nZarRY5OTmwWq1yKSgokKMCRahrPFsWpzuv1yu3V1dXF2w2G2w225CQnM1mi/qylV6vR25u7pAAl9iueXl5yM/P5/+TEBEREdFJi6EvIiIiomkuEAigp6cHTqdTBsGUx2NPK4+73e4h96dSqWCxWGA2m4eEgZTnxV5uNpthNpv5H6FTwOv1Rv2+GxoacPToUTQ3N8v/4O7u7obb7YbH4xk2JAYcC4qlpaXJFrF4bXLxloyMjCnfqTgZ3G63DAo0NTXJQ7H09PTI62ZlZWHGjBlyUTY2zJgxI+7IJxE6U44yqqqqwueffy53HCp3Gip3jE70iLxQKITDhw/LENgXX3yBzz//HE1NTXK9RAhswYIFWLBgAebPn39K76wbjhj5KbaTWERzSWZmJubPn4958+ahvLxctrwVFxdP8ZpPvaNHjw4JgnV1dQEACgoKZOBQPN/mzp07rd9/BgcHceDAAezYsQM7d+7ERx99hJ6eHqSkpGDRokUyRLJ69WpkZWVN2HoEg0H8/e9/x8aNG/HWW2+hra0N2dnZAI6Nh1yxYgXuuusuXH755bI5p6OjA6+//jp+97vf4V//+hfKy8tx9dVX44YbbsDMmTPx3nvvyWaM+++/H9dffz1ef/11qFQqpKSk4I033sCFF144YY8pltvtRlVVFaqqqqIaFltaWk74vpOTk2Uzl9lshkajiXp9iz0t1kcZshKne3t70d/fj/7+/rhtr2Ol0+kwZ84cXHTRRVi0aBEWLFiAiooKmEwmOJ1OnH322WhoaIgb3BJhMXFZeno6zjrrLFgsFrz77rsYHByMGxTTarUoKSnBc889h/PPP18GzP7617/i5ptvhtPpxJtvvokrrrhiVI/hyJEjeP/99/Hee+/hb3/7GzweDxYsWIB169Zh3bp1WLly5bg3YLrdbnz++ecy4LVnzx7Y7fao9sEVK1bgvPPOm9RmLBEkVga8/vWvf8HhcACI3yo5le2I4XAYLS0tOHr0qFzEeMKjR4/KRjydToeZM2di9uzZmDVrFmbPni2XOXPmTKvPkeFwGDabDU1NTbKRSjR2idPifQkAUlJSZCNXUVERioqKhpyerAbX8eb3+9He3h61iGap1tZW2dqlbJjS6/Wy+UgEkvLz86OWoqKiUbXmnozEv88Shd/EZc3NzVH/NhNf3Eo0FlBcdrqMBvT5fOjq6kJbWxu6urpkqEsE5To7O2G329He3j4kvJ2eng6r1YqcnBzk5+cnDHRN5OcuIiIiIqLpgKEvIiIiolNcbGBotIvD4Yi741D8R7XRaBxT25i4vtVqPe2bbyaa2+2WASUxRqe+vh4tLS3o6OiA0+mUTVZqtRpGoxEGgwFqtRqRSATBYBBer3fY3/9Yl1MpMNbX1yfH9yjDYGIRYwCBYzsjlKEw8Q19MbqmsLAwKsTV3NyM2tpa1NbWorq6Wh5vbW0FcGwH25w5c1BWVjZk/FF+fv6EPWan0xkVajpw4AAOHTokmxzEWKkzzjgDFRUVWLBgAebNm3fSN1ocr56eHhw4cAAHDx7EoUOHUFNTg0OHDsFutwMAUlNTUV5ejnnz5kUFwmbPnj2tg00TTdmmpmxU8/l80Ol0KC0tjQpALFu2DLm5uVO92nGFw2FUVVXh448/xq5du7Br1y7U1dVBpVKhrKwMy5cvl0tFRcWEBE0ikQj27NmDTZs24e2338bBgweh1WoRCoWQlpaGr371q7j77rsxf/58eZuqqir84Q9/wIsvvoju7m4sX75chqzC4TAWL16M6upq2UYi1vuhhx7Cww8/PO6PIxgM4sCBA9izZ49camtrZWvQSPR6vXz9zcvLQ05OjjzMyclBbm4ufv/73+Ppp5+Gw+E4rsaq0QiFQnC73Thy5Ag0Gg1sNpvcuS2Of/zxxwiHw2hvb0cgEBjV/arVapSXl6Onp0e+94jXkMHBQahUKhQUFODss8/G4sWLsWjRIpx55pkoKCjAU089hbvvvhsAhh0FqdVq0d7ejuzsbLhcLtx+++3405/+BJVKBY1Gg5tuugnPPPNM3Nt6vV7s3LlTjiI9dOgQUlJSsHz5cqxfvx5XXHHFuIZgBwcHUVtbG9XiJUYZi4YsEfCqrKyE0Wgct5+diM1mQ3V1tXwfOHToED7//HMZ7srKysLChQvle+j8+fOxYMGCCXsuDicQCKC1tTVuW1d1dbUMLxoMBhQUFES1WYmAenFx8bR5H/P5fGhvb4/b6tre3o7GxsaoQOZw7a4iQHIy/htGNE0rQ0nKbSLap5SvqxaLJW4gSXl4qoaSlM3cIwW6lMQ2Gy7QlZ+fP2Qk8KloYGAADodDvr+J0Jbdbpfve3a7HR0dHVEjlIFjrZeidSs3N1e+Z1utVuTm5spWazEWmYiIiIiIGPoiIiIiomG4XK6oBjGxuFyuYQ97e3vhcrni7pTV6/Uwm81IT0+Xh6JJTHmeOB7vfDoxwWAQXV1dQ3b6KI83NTXJ1g+tVit/BxkZGTAajdDpdNDr9QiFQggGg/D5fFEtc8qRGoLRaIxqjlP+nmN/37GL2Ww+aZoCfD6fDISJxgixtLa2or29PWr7iHEjsWEw5fFAIBAVBqurq8Phw4dx5MgRGbxKTU1FaWkp5syZI4Ngc+fORWlpqWz6GU+RSASNjY2ycUfZvOP1eqFWqzFz5kw5ekq00sybN++03UnjdDpx9OjRIS1vIpSg0+lQVFQU1e5WUVGBRYsWnTTP//EWCARkE54ydKhsBVOOIJ0/fz7Ky8unZduK2+3Gnj175Di5HTt2wJ4iW6IAACAASURBVOl0IjU1FWeeeaYMo5x77rkTMuKyqakJW7ZswebNm/Hhhx/K16G8vDxcc801+NGPfiRbrPx+Pz744AO8+OKL2LRpk7wPlUoVNyCkVquxbt06vPLKKyf0Ph0IBPDJJ59g27Zt2LZtG/bu3QufzzfsbQwGgwxRlpeXo6SkBCUlJZg5cyYKCgpGFUR77bXXMGvWLCxduvS41328hMNhtLW14cCBA7DZbGhtbZWv/TU1NXHfX5U0Gg1KSkqwatUqXHXVVVi9enXU30MoFMIdd9yBZ599dtiwl6DVavG///u/WLZsGa655hrYbLao1pqCggIZTAaA+vp6GfLaunUrfD4fZs2ahfXr1+Oyyy7DqlWrxu3vM3ZMoxi5azKZsHDhQhnyWrVq1YQGREOhEBobG1FdXS1/T+Kwt7cXwLFASHl5uWzIXLBgAc4444xJHx853BhG5We/eGMKxTIdRhe7XC60traipaUF7e3taGlpkZ+xmpub0dLSEhUmMZvNspmrqKhItnOJpq78/PxpE1YbjUAggK6uLhnYUo61a21tRUdHh2wDVrb4ZWRkyFYuq9WKwsJC5OXloaioSLZ25ebmnlTbYiThcBgOhwNdXV1yJKA4LrZfR0eHbJdSvr4ZjUYZ+BMtUjk5OXJMoGiSys3NPSUDcILyS2TK4Fu80+3t7XA6nVG3j203ixeMs1gsKCws5L/1iYiIiIiOA0NfRERERDRhlP9B7PP5xtw6lmhH73BtY4kayGLPz8zMnNAxeSc7v9+PtrY2tLW1ybBSW1ub3JHW1tYmW4uAYzvd8/PzUVBQgIKCAmRnZ8NisSA1NRUpKSnQaDTQaDTweDwyROhyueQSGyqMN2ZKo9EkDIfFC4vFXs9sNk+bIIiydSFe8K65uVmGuYDoxoXYBgqNRgOfz4e2tjbZ7CYCYeJvyGw2D2kGE6OXJmKHc3t7u2xpEo1Nhw4dku1AVqs1KtQkjs+aNWvc1+Vk4PF4UFNTg5qaGlRVVaG2thaHDh3CkSNHEAwGoVarMWPGjKgRkfPmzcPcuXMnJNB3Mujo6JABsAMHDuDzzz9HbW0tgsEgtFot5syZI8MVYiktLZUjDaeDUCiEmpqaqNBKdXU1IpEIZs2aJduIVqxYgbPOOmtcW7S8Xi927NiBZ555Blu2bIHH44FKpUJJSQluvPFG3H777TCbzXj55Zdx4403jiocpNPpUFhYiM2bN0e1h42krq4OmzZtwkcffYQdO3YMOwqxsLAQy5YtQ2VlJebNm4cFCxbI18HTQSgUQn19vRxp+Y9//AN79+6NGjscKyUlBStWrMBFF12ENWvW4L777sPf/va3uO+ziVgsFjidTqjV6ri3+81vfoMDBw7g/fffR1NTE1JSUmC1WvHAAw9g3bp1yMvLO67HqyQCXmKZijGNogkrdixjTU2NHHsnxjKKRkLx/jZZQamenh40NDSgvr5ejqoWS2Njo2yRS0pKkgFJsX7i+OzZs6c0aCwCTK2trVFBrra2NnlcOWYwOTlZBrcKCwvlqEVlyOtkGUMtWpFsNpsMIYnP3B0dHbIhSTl2EjgW/BdBpNggl3Ls4mS0200Gt9sdFd4SIwC7urrgcDjQ0dERFfRSfhFJrVYjOzsb2dnZMrSVl5c3JNCVn59/0jxvxsrtdqOzs1NuL4fDEXVaPA/tdjscDseQf5OnpKQgKytLjk7MyspCdna2bOIS5+Xm5iInJwfJyclT9EiJiIiIiE4PDH0RERER0bTl8/nitom5XC709fXB7Xajr68PfX196O3tjTrd19cnb5PoI29KSgpMJhNMJhPS0tJgNpuRlpYmzzOZTDI0pLyeyWSCxWKR552urUU+n0/ukBMNCx0dHWhpaYHNZkNLSws6OzujvjEvvtmt3CElmgbEDqm8vDz4/f4xhQVjr2e32xPu0B7NiMpE4cHs7OxJC42MFAxramqK2ukZGwzLy8tDUlIStFot+vv70dPTg8bGRhw+fBgNDQ1yx29qaqoMgMUezpgxY9we7+DgIA4fPoxDhw5FtdbU1tair68PAJCZmSkDTWVlZbK5Z+bMmadNqENpcHAQzc3NQ5rBDhw4IEOBSUlJmDVrVlRwTrmcTmK3lzg8ePAg/H7/kCa1iooKVFZWory8fNo8vzo7O/HJJ5/IsZD79u2D1+uFxWLB8uXLcc4552D58uVYtmzZuO6M3r59Ox577DFs3boVwWAQKpUKc+fORTgcxtGjR0c9TlGr1UKn0+Hll1/Ghg0b4l4nEong008/xcaNG7Fp0yYcOnQo7vWMRqMcgbl06VIsW7YMVqv1uB/jqay9vR179+7Fnj178Mknn2DXrl0yZJuIRqORIxqFSCSCSCSCUCg0pt+5VquVwcodO3agtbUVRUVFaG5uPq7H43A4sG/fPuzduxf79u3Dvn370N7eLp+XS5YswZIlS7B06VIsXrx43IMsopVRvOaK15Pa2lqEQiFotVoUFxdHBZcrKiqwcOHCCQ+JeL1eNDY2RoW5lAEv0W6l0WjkCEYR6FIGu6bqb0k0jSUaNxgbek9KShoSeI8NwU/3sYs+nw89PT1DRgPGboPW1tYho10TjVlUNiUVFBTAbDZP0aMbH2IbjaZJqrW1FW63O+r28ZqkEjVL5eTknFJNZsC/v2g10rYTDXCxjZHKf/MMtw0tFssp8XwjIiIiIjrVMPRFRERERKc8r9cbNzyUKFA03PmJjKZxbKQWslNxNEg4HJaNDaK1QRkMEw0OypYSrVY7pKlAjEAU37wX3xxPtL0ikUhUc1hsaDBey1jsdRL9vhONn1SetlgsSE9PR1paWlSQUAQLx+v3LLahaGGLd1y5A1E0GBQUFCAjIwM6nQ7hcBgDAwNwuVzydyPGUWm1WhQVFcUNhJWUlMBisYzL42hpaUFtba0ciSVCYe3t7QCONckpx1WKpaysbEJHdk1XkUgEzc3NstFNHNbV1aGhoUHuzLNYLHLc55w5czB37lx5OiMjY4ofxeTx+/2orq6WATAxirShoQHhcBhJSUmYN28eKioqUFFRIQOHc+bMmfJ2wMHBQdTW1somMNGcBxxrzKusrJQNR8uXL0dKSspx/6y2tjY52isvLw9VVVVRod2xuvnmm/H000/L4Gh9fT1efvllvPzyy2hqahpyfZ1Oh2XLluGiiy7ChRdeiHPOOYeNnMfJ5/Nh165d2L59O7Zt24bdu3fH/V2KMYgLFy7EjBkzoNfrkZKSAr1ej61bt+LVV18FgGFbwdRqNVauXInMzEy8+eab0Gq1GBwchEqlQk9Pz4jhgL6+Phw4cCCqxUs03imf45WVleM++rS3t3dISFQEqCKRCPR6PebMmTOkmbKiomLCGpO8Xq8MQYlFGYxqbGyUgbzYEYzKMNS8efMmtV1HBNXFura1tUUdNjc3D/kigGhXKigoiGrqEl8EKC4unrYNQX6/X7YhxTZyKVu62tvbo0JswLHPYjk5OcjLy5MhJNEypRwXmJWVNUWPbnyI50S8AFJsGMlms0V9SWe0ISTxnJnq9+rxFIlE0N3dLRu4Ylu3HA6HPC2auYLBYNR9pKWlDWndEq1c4jzl5afrF5iIiIiIiE4VDH0REREREY2S3++XDWNOp3NIs5gIDInT4vLe3t6o85TtTEoqlWpI25gIDZnN5qimMREgSk1NRXJyMlJTU5Geno7k5GQkJyefdN/A9nq9UcEw0RQmmg9sNhva29ujxn5pNBrk5OTIQJgINImdZ2JnmtVqPe6dsyO1jA3XRNbd3T2ksUFpNGNIRwoLpqenjzjCaqRgWEdHR1TATafTISsrS/4MjUaDUCiEgYEBOJ1O2O12ucNZ2cARbznRUJjb7ZZjD2tra1FXVyfHV4rnQlpa2pAgmDg+XqG0k40yyKAMDlRXV8vtFhsWEMv8+fNPmzYlj8eD6upqHDx4UAbCampqZKhCq9WipKRENs4p2+em8rnV3t6O3bt349NPP5UtSN3d3dBoNJg3b55sQVqyZAnOPPPMUe/Mfeedd7B+/Xqo1WqEw2GUlpaOqeUrlkajwdKlS/G1r30NGzduxN/+9rchzZtmsxmXXnoprrjiCqxbt25KR8qdyvr6+vD+++9j48aNePfdd2UblKBWq3HBBRfgxhtvxJIlS3DjjTdi7969YxoBqdPphgQPtm3bhtWrVyMSiWDjxo1Yvnw52tvbZYDx008/RU1NDcLh8JCA19lnnz0u44cDgQAaGhqiWiZF06SyZVKMzlWO0Z0xY8a4NkiFw2HYbDY0NjaiubkZTU1N8lCcJ9YJOBaKKi4uRnFxMWbMmIHi4mKUlJRgxowZKCkpgclkGrd1S2RgYEA2t4rPY+JQGexSNsslJSXJAJpYioqK5KEIdU23oI4I3CUKJilPd3Z2Rr02xjZNxWuYOlkDSuFwGN3d3UMWEUiKPV8EkZR0Op0MGOXl5SEnJwdZWVnyc7wYtyi+1HEiAebpZLh/R8Q+v8TS1dU1JKQ7miYzcbqgoICBaSIiIiKi0wxDX0REREREU0C5E+B4W8jifbM7ljIspAwPxQaJRnNZVlbWlO+o6u/vl00KbW1t6OzsREdHBzo6OmSjWGdnJ+x2e9Tt0tLSZENYbDBMNCuIHU7jOfJlPFrmfD7fsGNKE/0eR9swZ7FYkJqaCofDETVqKN74odidnDqdDikpKbIxzOfzRYUaTSYTiouLUVpaipkzZ0YtxcXFJxScaW1tlQGww4cPo66uDnV1daivr5dhu6ysLMyZM0c2kynHXBUVFZ1yzXojCYVCaGpqwpEjR2RDmFgaGhrk60lmZiZmzpyJkpKSIYclJSWnfCOEz+dDbW3tkPa52tpaGZrLycmRrWAiDFZWVoYZM2aMGMScCO3t7VFNSZ988gkcDge0Wi3mzp0bFaZZsmRJ3N/hI488gp/85Cfy70elUiV83TkRZrMZV111Fb7yla9g9erVU/6+croJBALYtm0b3nzzTfzlL3+B0+mMuny8fu96vR633norgsEgXn31VfT09MhAYXZ2dlQ4ccmSJcjPzz+hnxcv7FpVVYW6ujoZoLBarUNau8ZzFG4gEJANpvHauuKNZY4N3opw0Ny5cyc01OX3+9Hd3R13zGDsoVLsKOl4owfz8vKm5HUwVl9fH2w2G7q6umRbUmdnpzytvMzhcESFHNVqtfxcmJ2djby8PHk8NqiUn59/0oSUBgcH4wa4xDZIFO6KlZqaiszMTNkiJY6Lw9jtdbK3i7rdbvT09KCnpwcOh0Me7+npQXd3d8LTscFZrVaLzMxMZGRkyEV5WhxXNnJlZWVN2mh5IiIiIiI6OTH0RURERER0kksUIIsNEI3mspHaqYDxDZJlZmZOyLfRg8GgHKsjxuwog2F2ux2tra2w2+1yFB5wbGe3cieVCIMlOj5Z4ZdgMBi3TU7ZPBfbMBevjS623UVJ2SJnMpnkqEpl65zRaIROp8Pg4CB8Ph8GBwfR398vd4Z1dXWhs7MTLS0tUS0FGo1GhukCgYAMFOh0OmRmZiI7OxtFRUVYsGCBbAURO5OtVuuYmlZEsEkEwY4cOYKGhgY0NDSgvr5ehnZ0Op1sTYkNhM2aNeukH6s0VoODgzIQdvToUTQ0NKCxsVEednd3y+vm5eXJbRUbCisqKjqlQzzt7e0yVBIbMAGOPa/ESNTYUElJScm4tgaNZl2VQbCPP/4YPT09Mgi2ePFiLFmyBJWVlbKR66233hpTu1MiscEhlUqFVatW4dvf/jauuOKKUz44eLLwer3YuHEjXnrpJXz00UejCntpNBpEIpERG+DUajVUKhVCoZB83t9444245557UFFRcVx/C93d3airq0Ntba18jReHomnKbDbLUcBlZWVRx080mOPz+dDe3h537GJ9fT2amprk34/BYEBBQcGQsYtiKS4uHteQuSDGvnV0dMBms0V97hHhbZvNFjVWW61WIzc3V65nQUEBrFZr1KEYOTiZr2Gx+vv70d3dLcfcxQtvKYNdsWO609LSosJIolUqXrArKytrWgTXRhI7QnGkJim73T7kNT7eFwNiG6ROlSapkRp84227RP82it1uibaZcpkugUgiIiIiIjq1MPRFRERERERRBgYG4PF4ZIDI4/HA4/Ggt7d32Ms8Hg8GBgbiXjYco9GI5ORkpKenDzuucrjLkpOTYTAYYDabYTAYxrRj1+l0yh2GYmdoouOxoznT0tJkACw3N1fuMBQtELHtBxOxg3esEgX/xtJA1tPTExWWi5WUlASDwQCdTid/N+FwGKFQCKFQSN6fx+OJCg6IncnKf6bqdDqYzWZkZ2fDarVixowZmDVrlhzDVVBQMKZxpr29vVHtK8qlublZhtWGG1050Q0s05Hb7Y4KgYkgnTguRpJpNBoUFBTEbQibOXMmrFbrKdlY0dPTExVGUTbQidcNk8kUNYp07ty5MpAyGS0o4XAYNTU1ciTkyy+/DK/Xi2AwiOTkZKjVavT394/rz0xJScGdd96JW2+9FUVFReN63zS+mpub8fTTT+PZZ5+F2+2W55tMJnzzm9/E6tWr8fLLL+Ott96SYa6xMBgMuPvuu7FkyRJ88MEH+O1vfxv3eqItK15rl2id0uv1KCwsHPdwZWdnZ9TIxebmZjQ2Nsrjys8zGRkZcuTizJkz5XFxOB6jKQWPxyMD7KLpVBnsUl6mbIA1GAyy2VR8RrFarbL1NC8vDwUFBcjNzZ30zyc+nw89PT2jHnnX1tY2JLhuMBiQkZERN3QTG8ApKipCWlrapD7G0fJ6vXG3Rex5okXK4XDA4XBE/Z0K4vNSZmZm1CI+h8a77GQLaotx4y6XC06nc8gitlW85q3Yz64qlSph61ai05mZmWP63ElERERERDTRGPoiIiIiIqJJMdmNZADiNo2J46M9T3kcODYuKBAIwOl0DhsSU7ZoCBaLRe5wUwbClCNcYi+brrxeL/r6+tDf3w+n04mBgQEZ+nO5XPK02+0ectrtdsvToqVsuADBSOPGVCoVtFqtDPxlZGTIkJgIhy1atAi5ubkwm80JAwGDg4Nobm6OagYTxxsaGqLGhlqt1rgtYcXFxSd1C8bxEm0jsSPN6uvrUVdXJ0NhwL9HmsUbETZr1izMmDHjlBq92dbWFhUEO3z4MGpra1FfXy93QGdmZmL27Nny+aQcSVpUVDQhgYzk5GR4vV4YjUZccMEFeO+990Z9W6PRiNzcXKSkpMDr9aK9vT2qVcdkMuHBBx/Ed77znWkbtKD4XC4Xfvvb3+KXv/xl1Gg/MZrxeKlUKiQnJ2NgYABZWVnYvXt31OuECHk1NjbKn6Mcx6gMeB3Pa0Tsa1Ts8ebm5qjQo3L0YmxT15w5c5Cenn7c2wI4Fnrq6uqSYS3lcZvNhvb2dnR1daGtrS3q9RNAVOuo1WpFTk6OHF0txivm5uYiMzPzhNZxtAYHB+VoQHEo2riU5zkcDtjtdnR3dw8JmGo0miGff5Sfj2KDS9nZ2dMqfB0IBIYNaw0X6IptJAOOvT5bLJaoUJvFYon63Bgb3pouXy4Yifjsp1yGC3DFXhZvtL34goBY4o1MTHR6KtvriIiIiIiIxgNDX0REREREdFISTWJutxv9/f0yiCWCYW63G36/H319ffB4PPD7/ejt7UUgEJDhJL/fD7fbDa/XC5/PB6fTiUAgMKq2GxESS09Ph16vh8lkQkpKCvR6PSwWCwwGA/R6PdRqNfx+P9RqNUKhEAKBAMLhsAw/eTwe9Pf3o7+/H11dXUPCTaJxKtGYndjzT9bRMT6fDwMDA3J8pTIUJraPy+WSY6nEzmOHwyF/v4FAAKFQaMQRZSqVSgbFRKAvNTVV7kg1m83IyMhAfn4+UlNTkZSUhLS0NBgMBrlODodDNpK0tLTgyJEjUa0bFoslYajJarVi5syZJzxq7GTS0dGBpqYmtLa2oqWlBc3NzWhpaUFrayuam5ths9nk702v1yM/Px9FRUUoLi5GYWEhCgsLMWPGDHk8Ozt7ih/RiQuFQmhubpZBMDFWU4RgxOuQcmSkMgwmDo8n2NHd3R0VKtVqtVEjWUei0+kQiURQWlqK6upqeb7ZbMaDDz6IO+6446Rrj6Fofr8fv/rVr/Df//3fcnSioFKpoNfrEQqFxvS8iSc3NxdlZWWy/U6MYpw9e/aowrODg4Oyoau9vV2+xrS1tcnjHR0dUUEREZIqLCxEUVGRfL0RrznHO6a2v78/bogr3vHYlqaUlBTZxpWbm4v8/Py4LV05OTkT+rfldDqjmpESLd3d3eju7kZXV1fcRlcRco8NbOXk5MQNuE9WQG0kox3/F7so38OU4o1OHGkUYEZGxrQegZvoixqjWYZrik20rRItyi9njHUUOBERERER0amEoS8iIiIiIqI4jjdIFggE4HK5ZJDM5XLB7/fL4JK4z5FoNBoYjUa5c1er1SISicglGAzC5/PFbTxLTk5GRkYGTCYT0tPTkZ6eDovFgoKCAtkCkpGRgaKiIhQUFMBisYz79ptqwWAQ9fX12Lt3Lw4ePIiGhga0trbCbrfD6XTK399II8pEQGykhhsxylKMyVOr1VCpVBgcHEQgEIDf74fH44n6eWlpaXKnuNVqlQGnmTNnorS0FLNnz55WTSYTKRAIyACdCIeJQJgIhzkcDnl9o9EoW9XE81rsRFceGo3GKXxUJ2Y8RpGWl5fHDRfu378fixcvPq71EoEvZdhHo9HglltuwY9+9KNTIpBH/2a32/Hwww/jhRdekK9fubm5WLt2Lfbs2YO6urrjvu9HH30U999/f8LLA4GADNgq27mULV3KvwVg5MBtcXHxqF9Xg8GgHKXncDjQ2dk5bKArNhyXkZGB3NzcISOg4x1PTk4+vo2YwGiCW/GW2Pc6rVYb1YqkXIZr45qKxqnjCSMpr2e32+N+JhhrGEks0y2IFA6H4XK5ZLheLG63W7au9vf3y8ZW0bQV274VL+ip1+thNpuRnp4e1bhlsVjk8djLlMt4P/+JiIiIiIhOJwx9ERERERERTYHxCpKJ2/X09CAYDGJgYADBYHBU4y8FZfOVVquFTqeDwWCQ4xJF05XRaERWVhaMRiOys7ORlpaGjIwMGAwGGXgyGAxITU2FTqdDeno6NBoNzGYzNBrNtB3zJsZ+NTY2yrF7LS0tcDgcssXE7XaPepvqdDro9Xq5GAwG2QASCoXg9XoRDAYRDAYTNl4oKX8nqampMJlMcttnZ2fL80wmE4xGI1JTU+XvKyUlBenp6UhKSkJKSgpMJhMMBsO0/V0Mx+v1orm5OaotrLW1FR0dHWhra4PNZkNnZ2dUaMFsNscNg53s4bBgMIjm5mY5glSEwcRxMV5WrVajoKBAtoJlZGSgoqICDocD3//+90f8OcrRqhaLBXPnzkV6ejq2bdsmd/wXFxfjlVdewXnnnTdxD5im3N69e/G1r30NR44cGZf702q1WLZsGTZs2ICCgoK4oxebmpqiQjjDjYYVI3eHC48oQ0AiPKYMAMWeF/t6ItZBNDQp25pijxcWFp5wI5fb7Zahm0SHicJbsf/dq9PpEoa34o2+E4eT9V7h8XhkIEmM+1OO9ROnEy3x2sbE4xbhd2X4KN4iQkrKZTq8V7rd7qhAltPplOeJxeVyxT1PGfDyeDwJf4bZbJafI2K/MBAvpBUb4GJoi4iIiIiIaOow9EVERERERHSKEsGygYEBBAIB9PX1YXBwEG1tbejp6UF7ezucTie6urrgdruHjFYUtxdNVYnarpTBkJGIRiwRQhIjMU0mE7RaLcxmM9RqNcxmM7RaLUwmE/R6PVJSUuQoH3GbtLQ0GSbTaDQybCbCZ2IE53jp6+tDW1sb7HY7Ojo6YLPZ0NbWhsbGRnR0dKCjowPd3d1wuVxR20Oj0UCv18vGsGAwGLdNxGQywWKxIDU1VbaFAZAhMZ/Ph/7+fng8nqjfhVqthlarjbrNaFrMgH83mIhtqxyXFO/4aC/PysqakvF+g4ODsNvtMgSW6HC4cJjVapUNPPFaekYzcm6q+Xw+tLe3D2kI27x5M3w+H4DRjXTUaDSIRCLYsGEDfvzjH2Pv3r244YYb5O02bNiA5557DmazecIf04l67bXX8POf/xy1tbVyG3zxxRdYsGDBFK/Z+Hj88cdx3333AQAKCgrQ2to67j+jr68PGzZswJYtW4ZcplarR2xETESn0yErKysqiBkb7iouLh7SHuX1ekcV3urt7UVra+uQkYrxGpxix+4pT+fk5IypwSoYDEY1JQ0X4Ip3XrztmZqaGtWiNFJ4SywT0RopmqOUoaT+/n709vZGnRZNUuK0sklKBJOU4zcFlUo1YlBLGU6Kd/5UhZFEUN/j8aC3t1c+brGIbSQW5XZTLsM1wyYnJw8JaYnTqampQ84TgXER8FKGyImIiIiIiOjkxdAXERERERERjYpoIUu0o7q3txfd3d1y6e3tlTuEBwYGhtyfSqVCUlISkpKSYDAYoNPpoFarodFoZPuYGGc5ODiIUCiEQCCAQCAAt9s96qAZgKhAkgiCxZ431sNE96HX6zEwMCB3dIuAXWdnJ2w2G+x2uxwL1tvbOyR4I1q9tFqt3AaiFSxRSMdoNMrtF4lEEAqF4PP5hlw/OTlZNoEpdw4nJSVBp9MBOBb0Ea1xgUAAvb29cjylaDyLDU8Mt83T0tJgMBhgMplkYM9isciGuLS0NBniE4E9i8Uiw34i+Jeenj4kAHi8EoXD2tvbYbPZ0NXVJX9Xse0o6enpMgCWnZ0tQ2I5OTnIy8tDTk4OsrOzkZeXh/T09ONex4mQlJQ0qna5WBqNBuFwWP7NqVQqPProo/je97433qs4IXbu3ImVK1fi3nvvxcMPP4zOzk5ccMEFeO+9906Z0JewaNEiOByOCQl9CY8++ih+8IMfAPh36Pd4Q19ZWVno6OiQAanRNnHFG8UnQlyxwa3hzhuOCEOLEOYZFgAAGMlJREFU9zHlcfH+prwsNrQV731PrVbL9iTlYbzz4h2K1+njFQwGZcBIBJFEMMvlckWdJ0b+xbZMidPDNUcp319MJhPMZrM8LgJJiYJaYpmMMJJoUBUtcGM9Hu8yt9s9bOhaGTZUhqfHcl5mZuZJEUAmIiIiIiKiicfQFxEREREREU0K5U7SsSwOhyNuCwgAGAwGpKeny9CYyWRCcnIyUlJSoNFooFarZaDJYDAgHA7LcILBYEAgEIBGo4HP50M4HJZtaCLwJHYIi3Gbg4OD6OvrG9Pj1ul0SE1Nla1kor0EOBYgCofD0Ol0CIVCUKlUCIVCMuDm9/vh9/vh9Xrh9XoTjmhSBs6U4blQKBR1H6MN/IhAngiIiXGSmZmZyMrKQk5ODvLz8+V4yczMTOj1+hF3ko/28u7u7lGP00zUQJbocKzXiUQiGBgYkOM+Ozs70dnZia6uLtjtdhkSs9vtcDgcUetmMBiQlZWFzMxMue3EIs4TS3Z2NrKysiakkQcA9u3bh6VLl47pNuJvKPbv76c//Sl++MMfjufqTai77roLTz31FFpbW1FQUDDhPy81NRWLFi3Cjh07JvxnxZqM0BcAPPLII3j44YeHtBqOpmFQSYwWjn2OJSUlRb3eiL8PseTk5ESdzsrKgkajAXBsjK6yvTI2tBXbMhUv3JVoXKBGo5Gj7ZThJOV4wHiH4vhYgkxOp1O+9vf29srjTqcTHo8HXq8XLpcLAwMD8Hg8MqDl9XplkEu0fYrriZa7eEQwS4SzxGNThrVEG6WyJSo9PT3qOuPd/Cfej10uFwYHB+FyuaLePxJtl/7+fvm+mWi7DMdoNMJoNMrxhUajUT5Wo9E47Fhls9ksb2+xWOR1TySsTERERERERBQPQ19EREREREQ07YlmFWXLSLwRScomktjzhmvfECMmRzsiyWQyQafTISUlBZFIBMnJyfJwYGAAwWAQHo9HBq48Ho9sWBGBhEgkIkc3uVyuuKEz5YhNsYM6URhhrESbmkqlkiExcT4A2bIWDodly9NITT5ixKROp4Ner5c7wMV2zMnJQUZGBvLz85Gbm4vMzEykpqbK6yhDB2q1Wu68F+NJY0eWit+paEzr6+uT21tsf+V1xLYX21NcZzREC5kYRWqxWGSQTzSQiZCYWHeVSgWv14tQKCSDCQMDA/L5K9ZFSa/Xxw2EZWRkDBlFF9sSNJwzzjgDBw8eHNVjBYDMzEycffbZWLx4MV577TUcPnwYAPDzn/8c3//+90d9P9PBlVdeiTfffBNer3dSQhenQ+gLOBb8euihh074fq666ipcd911stUvNTUVKpUqKvwb26403Hni9TSeeCMd4zUrJbpOXl6eHKMrXnNEYNXtdiMYDEaFkvr6+mRgaWBgAF6vF263+4QDScoQUkpKStSoP2UIKTk5GcnJyTCbzfJ1VjRvifc4cd2xUgZ1hwv2nshl4j1xJMONHY73Ox7pelM1opiIiIiIiIhorBj6IiIiIiIiotPKaIMD8ZrJxPldXV3D7ogebmfyaHZKJ7qd2WyWoSyxU1wZHhNhKBFuAoC+vj4MDAzA6XSiq6sLHo8HDocjqhlGBBb8fj98Pp9sNxP3FY8IjAE4rrFuoyHCaBqNBlqtFklJSdBoNHI0pFqtRkpKCgwGAzQaDSwWiwycZWZmQqvVynYarVaLjIwMpKWlISkpSYa4xM8BjoULU1NTowKCYjv39/cjGAzC6XQiFArB5XLJIJ94XojruFwuhEIhOJ3OIdcZDZ1OJx8zANkAJ0Z9xnvuqVQqGbITYzPT0tJkMOy1115L2JgXj16vx/r161FZWYkHHngAAHDhhRfiww8/lNvrZPHlL38Zb731FkNf4ywYDGLlypXYvXs3gH+Pehwrg8EwbPhS2SIlntPK0YHiPHFaBE7FmFzxmiEaFMXfZaLAlgiO9vf3y+uLoKh4jXU6naN6rMqRtrHNUeLvNLY5SrRVpqenw2g0ytCW8rgggmfK9wGxbuJ1LLa5Ujw+cdtwOAyXyxV1W2WrVmxIdqTxhYIIxYrXa7Et0tPTodVqo0b2itfjtLQ0aLVaOcpSbJukpKSowK24XXp6+kn3ekREREREREQ0nhj6IiIiIiIiIjoOYnSYWMRYMDFeyul0wu/3Y2BgAG63WwaHRADI7XbD4/HA5/PB6XSOKhSkVqtlEECEwsQOdTHmUgQfxA50EYoym81yJ7y4H+WoSYvFAgBRwTIAMugkmtbiHYrjXV1dcDqdcunr6xs2NCbCTYnaxcSS6PbKQ+Xtx5tGo5GtL2KEpkajkSM1AchAgginibYio9EY1aJjNpsRCoUwODgIg8EgQ1yicS0YDCIUCkGj0SAYDMrgnQjhRSIRGdoQIzuVARW/349gMIhgMDiuYTy9Xo+Ghgbk5+eP230qOZ1O+RwUfvKTn+DBBx/E4OAgdDqdPP/KK6/EX//61xHvc9OmTbjiiiuGnH/22Wfjk08+weDgIN544w288MIL+OKLL+ByuTBnzhx861vfwh133DEkTNLd3Y2f/vSneOutt9Da2ors7GyUl5fjG9/4Bq6++mo8/fTTuO+++4b8PI1Gg8HBwahmrPPOO0+Gwt5//31ccsklAI41rCnHhI51HScz9AUAhw8fRkVFxajamBKprKxEZWWlDDkC0a8F4rVxuGYpn883puY+8RooXj9TU1Oh0+lkcDQ1NVUGkUQAyWQyyTCmyWRCIBBAamoqtFotQqEQkpOTEQqFoNPp5MjKwcHBqECWsrVRrG+89kcRvhpp5PBYiMcq1l9sA+Dfr/9paWnQaDRRAStxfRE+FttKuV3iXaZ8bSYiIiIiIiKiicHQFxEREREREdE0IgJgHo9nVGExEQIYze3GQjSoiMPYMIDYuS/aW0RAIrbRTK1Wy6YqEXaKRCIyxKQMK/X19cnRjGLde3t75XGPx5NwfbVaLVQqFbRabVRwbLgwiri+RqORoynF+gqRSAQqlUoGs8Q4xtixjCMR4TZx/2q1GuFwWDamiRGaAEZc77EyGo2yFe54zZ8/H/v27Zvwpqx169bhww8/RF1dHWbPnh112bnnnovbb78dX/va18Z0n4mavt5++21cdtll+NnPfobvfOc7CIVC+POf/4y77roL99xzDx577DF5XZvNhnPPPRderxfPP/88zj//fHg8Hjz//PN46KGH8OSTT+Kuu+4CMHLTV6LLlyxZgsbGxqjQ11jWEZj80BdwrAFu+/btx317tVotw1NGoxFarVaGK5OSkqBSqaDX6+X54XBYXi7axcTlgUBABrMikQgGBwdlW6AI1ep0OoRCIfT19QFAVOBWhKwSBbWOl3gdFcFbAPJ1Uhm+FWEp8XorXl/F66louIoX3Iq9rXiNFrclIiIiIiIiolOPduSrEBEREREREdFkUY7uGm9i1KAY6yUaZsR4LxF0UAYeent7AUSP/QqHw3LEl81mw+DgoBxtKA5FM81Y2ndiiYAZAOTm5sqAR2pqqmyxMhgMMiCl0+kQDAZl+5EyqCVad0QLlmjCEs1YoxlXNloqlUoGyUTgRHlco9HI9RUBFmWbVSgUglarRTgcliMZg8GgbD/yeDwyiDaabTvasZLDueqqqyYlOHLPPfdgy5Yt+MUvfoGnn35anr9z5040Nzdjw4YN4/rzLrjgAvzgBz+Qp++44w7s2bMHTz31FB566CEZ0PnBD36AhoYGvPbaa1i/fj2AY8/PBx98EDt37hzXdTredZwqN9988wmFvsTryWgpW6RECEpQvmYoA1bAv0ctAsf+9mbNmjXkPpRjX4cLail/ljK0lei+iIiIiIiIiIgmAkNfRERERERERKcJMb4MALKzsyf1Z4tGMtGqI8YSApABMeDfTTvAv4NmyhCaCKwB0Q08yrae2PsTQQ+n0ynHLzqdThnoEPc9XkTDUCIivHYyEeMHJ9rFF1+MM844A7/73e/w4x//GJmZmQCAxx57DHfccUfUmMcTtX79ehngUjrzzDPxxz/+EVVVVVi+fDkAYOPGjQDib4f33ntv3NbpRNZxqqxZs0Yet1qt6OzsBIBRjxf9xje+gQceeED+nSrbqwCwqYqIiIiIiIiIKAGGvoiIiIiIiIhowhmNRtmQM92JgJqSCKAJytCaIFrQBNF8pqQMtSn19/dHtR0p27n8fr883dvbi0AgIFvLxOXieCgUgs/nQyAQkCM1Q6EQmpubRx3CiWfmzJnHfduxuuuuu3DTTTfhN7/5DR566CHU1dVh27ZteOmll8b157hcLjzxxBPYuHEjWltbh4T/xO/X7/fD5XIhKSkJJpNpXNdhvNZxKim3ydq1a/GLX/wC77zzDl555RV8+OGHMriZSEZGBsrLyydjVYmIiIiIiIiITikMfRERERERERERKcQLqImGtJOVXq8fdejLYDDg/PPPR2FhIV588UUAx9rTJqsd7utf/zp++MMf4te//jW+973v4YknnsD1118/7r+Dyy67DP/85z/x1FNP4dprr0VWVhZUKhV++ctf4u6775ZBJYPBgPT0dLhcLvT19Y0Y/BKjBxNRq9WyiU4pXuPcaNdxKnV0dMjjGRkZyMzMxHXXXYfrrrsO3d3dIwbAjnf8KxERERERERHR6U491StARERERERERERTS6/X4+KLL0Z9fT18Ph+2bNmCc889V16+Y8eOSVsXg8GA2267DXa7HU888QT+9Kc/4bvf/e64/oxQKISdO3ciLy8Pd955J7Kzs2VYS9myJlxxxRUAgHfffXfIZWeddRbuvvtueTo5OTkq1FVWVobnnntOnrZarWhra4u6D5vNhubm5hNax6nyz3/+Ux5fuHBh1GUiAPb++++jra0N//d//4fzzjsPKpUKavWx/5aMF4AjIiIiIiIiIqKRMfRFRERERERERHQaEkGv2tpa+P1+bNmyBSUlJfLyNWvWyGDOeI9WHMltt90Go9GIBx98EGvWrMGcOXPG9f41Gg0uuOAC2Gw2PPbYY3A4HPB6vdi+fTueffbZIdf/+c9/jpKSEtx9991455130NfXh9bWVtx2223o6OiICn0tXrwYdXV1aGlpwa5du1BfX4+VK1fKyy+++GK0t7fj17/+Nfr7+3H06FF897vfRU5Ozgmt41QRzw21Wo01a9YkvF5eXh7+8z//Ezt27EB7ezt+9atfYcWKFUhOTp6sVSUiIiIiIiIiOqWoItOhB56IiIiIiIiIiCaM0WiEz+eDVqvFueeeiyeeeAJLliwZ8XZr167F1q1bAQAffPAB1q5dO9GrKt1yyy14/vnn8fe//x2rVq0a8+03bdokG7qUdu3ahXPOOQcOhwMPPvgg3n33XdhsNmRkZOCSSy5BXl4eHn30UQBAZWUl9u3bBwDo7u7GI488grfeegutra3IysrC+eefjx//+McoLS2V919bW4ubb74Zn332GTIyMvD9738ft912m7zc5XLh3nvvxTvvvAOn04nKyko8+eST+M53voNPP/0UAHD//ffj0UcfHfU6XnPNNbjvvvuiHucDDzyARx55ZMzbbSy2bNmCdevWAQC+9KUv4f333x/zfQQCAej1+vFeNSIiIiIiIiKiUx5DX0REREREREREp7if/OQnWLFiBVavXj2m2+3YsQOrVq1CJBKB1WrFv/71ryGNVBPlpZdewtNPPy1DVzS9dHZ2YtGiRbDZbFCpVNixY0fUSFAiIiIiIiIiIppYHO9IRERERERERHSKe+ihh8Yc+AKAFStW4PbbbwcAdHR04Otf/zr8fv94r15czz77LO65555J+Vk0Nn6/H9deey1sNhsA4M4772Tgi4iIiIiIiIhokjH0RURERERERERECT322GNYvHgxAGDr1q245JJL0N/fP+4/54UXXsAVV1yB/v5+PPvss+jt7cVVV1017j+HTozH48Hll1+O7du3AwCWLFmC//mf/5nitSIiIiIiIiIiOv0w9EVERERERERERAkZDAa8/vrrKCwsBABs374dl1xyCRwOx7j/rE2bNsFiseCZZ57Bq6++Cq1WG/d6KpVqxOX//b//N+7rd7rr6urCxRdfjA8++AAAUFxcjNdffx0Gg2GK14yIiIiIiIiI6PSjikQikaleCSIiIiIiIiIimt6ampqwZs0aHDlyBACQm5uLl156CZdccskUrxlNho8++gjXXXcd2tvbAQAlJSXYunUrZs2aNcVrRkRERERERER0emLTFxERERERERERjWjGjBn4+9//joULFwIAOjs7sX79etx3330YGBiY4rWjiTIwMIB77rkHa9eulYGvM888Ezt37mTgi4iIiIiIiIhoCjH0RUREREREREREo5Kfn4/du3fjzjvvhEqlQjgcxuOPP465c+fiueeeQzgcnupVpHESiUTwl7/8BRUVFXjyyScRiUSgUqlwyy234OOPP4bVap3qVSQiIiIiIiIiOq1xvCMREREREREREY3Z5s2bcdNNN6Grq0uet3TpUvzsZz/DmjVrpnDN6ER98MEHeOCBB7Bv3z55Xm5uLl588UVceumlU7hmREREREREREQksOmLiIiIiIiIiIjG7LLLLkNdXR3uv/9+GAwGAMDevXuxdu1aLFq0CL///e8xODg4xWtJoxUOh7F582acffbZ+NKXviQDXzqdDnfeeSdqamoY+CIiIiIiIiIimkbY9EVERERERERERCektrYW9957L95+++2o82fPno1bb70V3/jGN5CbmztFa0fDsdls+MMf/oBnnnkGDQ0NUZddfvnlePzxx1FaWjpFa0dERERERERERIkw9EVERERERERERONi//79ePLJJ/HKK68gFArJ8zUaDVavXo1bbrkFX/7yl6HT6aZwLSkUCmH79u147rnnsGnTJgSDQXmZWq3GpZdeigceeADnnHPOFK4lERERERERERENh6EvIiIiIiIiIiIaV4cPH8bjjz+OP/zhD/B6vVGXZWVl4bLLLsOXv/xlrF27FkajcYrW8vTi9XrxwQcfYNOmTdi8eTO6u7ujLk9OTsZ1112He++9F7Nnz56itSQiIiIiIiIiotFi6IuIiIiIiIiIiCaEy+XCq6++ipdeegm7d+8ecnlKSgrWrVuH9evX46KLLkJRUdEUrOWpq7m5GR999BHefvttvP/++/B4PEOus3z5ctx44424+uqrkZaWNgVrSUREREREREREx4OhLyIiIiIiIiIimnCHDh3Cyy+/jDfeeANHjx6Ne53S0lJceOGFuPDCC7F69WpkZ2dP8lqe3Ox2O7Zv345t27Zh27ZtOHLkSNzrzZ49G1deeSVuuOEGzJs3b5LXkoiIiIiIiIiIxgNDX0RERERERERENKmqqqrw9ttvY/Pmzfj444+R6L+nrFYrKisr5bJy5UqYzeZJXtvpaWBgAPv378enn34ql+rq6oTbsqKiAhs2bMBll12GysrKSV5bIiIiIiIiIiIabwx9ERERERERERHRlGlpacHWrVtlO1V7e3vC62q1WpSVlWH+/PmYP38+KioqMH/+fJSWlkKr1U7iWk+eYDCII0eOoKqqClVVVTh06BCqqqpQU1ODUCiU8HYFBQWyNW3NmjUoLCycxLUmIiIiIiIiIqKJxtAXERERERERERFNGzU1Ndi2bRt27tyJvXv34vDhwyPeRq/XY/bs2SgpKcHMmTPl4cyZM1FcXIycnJxJWPPj19nZiebmZjQ2NkYtDQ0NOHr0KAKBwLC3V6lUKC0txdKlS3HeeefhwgsvRFlZ2SStPRERERERERERTQWGvoiIiIiIiIiIaNrq6enB3r17sWfPHuzduxdffPEFmpqaEo4xjEen0yE7Oxs5OTmwWq3Izs5Gbm4uMjMzYTabkZqaitTUVJhMJqSnpyMtLQ0ajQYpKSnQ6/XyftLT06FWqwEA4XAYLpdLXhYIBDAwMIBQKAS32w2Xy4W+vj709/ejr68PLpcLDocDdrsdXV1d6OjogN1uh91ux+Dg4Kgfi0qlQklJCc444wwsXboUS5cuxbJlyzj2koiIiIiIiIjoNMPQFxERERERERERnVT6+/tRXV2NgwcPysOjR4+iqakJfr9/qldvXBgMBsycOROzZ8+WoywXLFiAefPmISUlZapXj4iIiIiIiIiIphhDX0REREREREREdEqIRCLo6OhAQ0ODHJHY0tICm82Grq4u2Gw2dHZ2YmBgYErXMyUlBXl5ecjNzUV2djasVisKCwvlSMqSkhJYrVao/n9796rDIBAFAfRCEEBCNjj+3/bLULDhIUlVSeqqSh/n2DVz/WSnKC7NCQAAAMDnUvoCAAAA4K9s2xbjOMY0TTHP8znBuK5r5Jwj5xzHccS+708/hy3Lck4xVlUVXdedb3VdR9M0UZZlpJQipXRORj5mI/u+j2EYom3bt98MAAAAwG9R+gIAAAAAAAAAAPgi5dUBAAAAAAAAAAAAeJ3SFwAAAAAAAAAAwBepIuJ2dQgAAAAAAAAAAABecwf1+hchkRVmjQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a causal model from the data and given common causes\n",
    "\n",
    "common_causes = []\n",
    "\n",
    "for i in range(1, 26):\n",
    "    common_causes += [\"x\"+str(i)]\n",
    "\n",
    "ihdp_model = CausalModel(\n",
    "                data=data,\n",
    "                treatment='treatment',\n",
    "                outcome='y_factual',\n",
    "                common_causes=common_causes\n",
    "            )\n",
    "ihdp_model.view_model(layout=\"dot\")\n",
    "from IPython.display import Image, display\n",
    "display(Image(filename=\"causal_model.png\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lalonde"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lalonde_model = CausalModel(\n",
    "                data=lalonde,\n",
    "                treatment='treat',\n",
    "                outcome='re78',\n",
    "                common_causes='nodegr+black+hisp+age+educ+married'.split('+')\n",
    "            )\n",
    "lalonde_model.view_model(layout=\"dot\")\n",
    "from IPython.display import Image, display\n",
    "display(Image(filename=\"causal_model.png\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 2: Identification"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IHDP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimand type: nonparametric-ate\n",
      "\n",
      "### Estimand : 1\n",
      "Estimand name: backdoor\n",
      "Estimand expression:\n",
      "     d                                                                        \n",
      "────────────(Expectation(y_factual|x7,x5,x4,x24,x15,x25,x2,x21,x18,x12,x10,x22\n",
      "d[treatment]                                                                  \n",
      "\n",
      "                                                 \n",
      ",x9,x14,x1,x20,x11,x23,x17,x6,x8,x16,x19,x3,x13))\n",
      "                                                 \n",
      "Estimand assumption 1, Unconfoundedness: If U→{treatment} and U→y_factual then P(y_factual|treatment,x7,x5,x4,x24,x15,x25,x2,x21,x18,x12,x10,x22,x9,x14,x1,x20,x11,x23,x17,x6,x8,x16,x19,x3,x13,U) = P(y_factual|treatment,x7,x5,x4,x24,x15,x25,x2,x21,x18,x12,x10,x22,x9,x14,x1,x20,x11,x23,x17,x6,x8,x16,x19,x3,x13)\n",
      "\n",
      "### Estimand : 2\n",
      "Estimand name: iv\n",
      "No such variable found!\n",
      "\n",
      "### Estimand : 3\n",
      "Estimand name: frontdoor\n",
      "No such variable found!\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Identify the causal effect for the ihdp dataset\n",
    "ihdp_identified_estimand = ihdp_model.identify_effect(proceed_when_unidentifiable=True)\n",
    "print(ihdp_identified_estimand)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lalonde"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimand type: nonparametric-ate\n",
      "\n",
      "### Estimand : 1\n",
      "Estimand name: backdoor\n",
      "Estimand expression:\n",
      "   d                                                          \n",
      "────────(Expectation(re78|black,hisp,married,nodegr,age,educ))\n",
      "d[treat]                                                      \n",
      "Estimand assumption 1, Unconfoundedness: If U→{treat} and U→re78 then P(re78|treat,black,hisp,married,nodegr,age,educ,U) = P(re78|treat,black,hisp,married,nodegr,age,educ)\n",
      "\n",
      "### Estimand : 2\n",
      "Estimand name: iv\n",
      "No such variable found!\n",
      "\n",
      "### Estimand : 3\n",
      "Estimand name: frontdoor\n",
      "No such variable found!\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Identify the causal effect for the lalonde dataset\n",
    "lalonde_identified_estimand = lalonde_model.identify_effect(proceed_when_unidentifiable=True)\n",
    "print(lalonde_identified_estimand)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 3: Estimation (using propensity score weighting)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IHDP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Causal Estimate is 3.4097378244116188\n"
     ]
    }
   ],
   "source": [
    "ihdp_estimate = ihdp_model.estimate_effect(\n",
    "                    ihdp_identified_estimand,\n",
    "                    method_name=\"backdoor.propensity_score_weighting\"\n",
    "                )\n",
    "\n",
    "print(\"The Causal Estimate is \" + str(ihdp_estimate.value))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lalonde"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Causal Estimate is 1614.1306196727573\n"
     ]
    }
   ],
   "source": [
    "lalonde_estimate = lalonde_model.estimate_effect(\n",
    "                        lalonde_identified_estimand,\n",
    "                        method_name=\"backdoor.propensity_score_weighting\"\n",
    "                    )\n",
    "\n",
    "print(\"The Causal Estimate is \" + str(lalonde_estimate.value))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 4:  Refutation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IHDP"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add Random Common Cause"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Add a Random Common Cause\n",
      "Estimated effect:3.4097378244116188\n",
      "New effect:3.4069391498679846\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ihdp_refute_random_common_cause = ihdp_model.refute_estimate(\n",
    "                                        ihdp_identified_estimand,\n",
    "                                        ihdp_estimate,\n",
    "                                        method_name=\"random_common_cause\"\n",
    "                                    )\n",
    "\n",
    "print(ihdp_refute_random_common_cause)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Replace Treatment with Placebo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Use a Placebo Treatment\n",
      "Estimated effect:3.4097378244116188\n",
      "New effect:-0.04025385903392266\n",
      "p value:0.38\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ihdp_refute_placebo_treatment = ihdp_model.refute_estimate(\n",
    "                                    ihdp_identified_estimand,\n",
    "                                    ihdp_estimate,\n",
    "                                    method_name=\"placebo_treatment_refuter\",\n",
    "                                    placebo_type=\"permute\"\n",
    "                                )\n",
    "\n",
    "print(ihdp_refute_placebo_treatment)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove Random Subset of Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Use a subset of data\n",
      "Estimated effect:3.4097378244116188\n",
      "New effect:3.3337841177110215\n",
      "p value:0.33999999999999997\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ihdp_refute_random_subset = ihdp_model.refute_estimate(\n",
    "                                    ihdp_identified_estimand,\n",
    "                                    ihdp_estimate,\n",
    "                                    method_name=\"data_subset_refuter\",\n",
    "                                    subset_fraction=0.8\n",
    "                            )\n",
    "print(ihdp_refute_random_subset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lalonde"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add Random Common Cause"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Add a Random Common Cause\n",
      "Estimated effect:1614.1306196727573\n",
      "New effect:1757.3503449997097\n",
      "\n"
     ]
    }
   ],
   "source": [
    "lalonde_refute_random_common_cause = lalonde_model.refute_estimate(\n",
    "                                            lalonde_identified_estimand,\n",
    "                                            lalonde_estimate,\n",
    "                                            method_name=\"random_common_cause\"\n",
    "                                        )\n",
    "\n",
    "print(lalonde_refute_random_common_cause)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Replace Treatment with Placebo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Use a Placebo Treatment\n",
      "Estimated effect:1614.1306196727573\n",
      "New effect:45.371485245827046\n",
      "p value:0.46\n",
      "\n"
     ]
    }
   ],
   "source": [
    "lalonde_refute_placebo_treatment = lalonde_model.refute_estimate(\n",
    "                                        lalonde_identified_estimand,\n",
    "                                        lalonde_estimate,\n",
    "                                        method_name=\"placebo_treatment_refuter\",\n",
    "                                        placebo_type=\"permute\"\n",
    "                                    )\n",
    "\n",
    "print(lalonde_refute_placebo_treatment)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove Random Subset of Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/amit/py-envs/env3.8/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refute: Use a subset of data\n",
      "Estimated effect:1614.1306196727573\n",
      "New effect:1661.4298656124365\n",
      "p value:0.36\n",
      "\n"
     ]
    }
   ],
   "source": [
    "lalonde_refute_random_subset = lalonde_model.refute_estimate(\n",
    "                                    lalonde_identified_estimand,\n",
    "                                    lalonde_estimate,\n",
    "                                    method_name=\"data_subset_refuter\",\n",
    "                                    subset_fraction=0.9\n",
    "                                )\n",
    "\n",
    "print(lalonde_refute_random_subset)"
   ]
  }
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